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Smart meters are used to measure the energy consumption of households. Specifically, within the energy consumption task, a smart meter must be used for load forecasting, the reduction in consumer bills as well as the reduction in grid distortions. Smart meters can be used to disaggregate the energy consumption at the device level. In this paper, we investigated the potential of identifying the multimedia content played by a TV or monitor device using the central house’s smart meter measuring the aggregated energy consumption from all working appliances of the household. The proposed architecture was based on the elastic matching of aggregated energy signal frames with 20 reference TV channel signals. Different elastic matching algorithms, which use symmetric distance measures, were used with the best achieved video content identification accuracy of 93.6% using the MVM algorithm.
Pascal Schirmer; Iosif Mporas; Akbar Sheikh-Akbari. Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation. Energies 2021, 14, 2485 .
AMA StylePascal Schirmer, Iosif Mporas, Akbar Sheikh-Akbari. Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation. Energies. 2021; 14 (9):2485.
Chicago/Turabian StylePascal Schirmer; Iosif Mporas; Akbar Sheikh-Akbari. 2021. "Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation." Energies 14, no. 9: 2485.
A data-driven methodology to improve the energy disaggregation accuracy during Non-Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification scheme, with the first stage consisting of classification models processing the aggregated signal in parallel and each of them producing a binary device detection score, and the second stage consisting of fusion regression models for estimating the power consumption for each of the electrical appliances. The accuracy of the proposed approach was tested on three datasets—ECO (Electricity Consumption & Occupancy), REDD (Reference Energy Disaggregation Data Set), and iAWE (Indian Dataset for Ambient Water and Energy)—which are available online, using four different classifiers. The presented approach improves the estimation accuracy by up to 4.1% with respect to a basic energy disaggregation architecture, while the improvement on device level was up to 10.1%. Analysis on device level showed significant improvement of power consumption estimation accuracy especially for continuous and nonlinear appliances across all evaluated datasets.
Pascal A. Schirmer; Iosif Mporas; Akbar Sheikh-Akbari. Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors. Energies 2020, 13, 2148 .
AMA StylePascal A. Schirmer, Iosif Mporas, Akbar Sheikh-Akbari. Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors. Energies. 2020; 13 (9):2148.
Chicago/Turabian StylePascal A. Schirmer; Iosif Mporas; Akbar Sheikh-Akbari. 2020. "Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors." Energies 13, no. 9: 2148.
Akmol Hussain; Akbar Sheikh-Akbari; Edward Abbott Halpin. Color Constancy for Uniform and Non-Uniform Illuminant Using Image Texture. IEEE Access 2019, 7, 72964 -72978.
AMA StyleAkmol Hussain, Akbar Sheikh-Akbari, Edward Abbott Halpin. Color Constancy for Uniform and Non-Uniform Illuminant Using Image Texture. IEEE Access. 2019; 7 ():72964-72978.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh-Akbari; Edward Abbott Halpin. 2019. "Color Constancy for Uniform and Non-Uniform Illuminant Using Image Texture." IEEE Access 7, no. : 72964-72978.
Digital camera sensors are designed to record all incident light from a captured scene, but they are unable to distinguish between the colour of the light source and the true colour of objects. The resulting captured image exhibits a colour cast toward the colour of light source. This paper presents a colour constancy algorithm for images of scenes lit by non-uniform light sources. The proposed algorithm uses a histogram-based algorithm to determine the number of colour regions. It then applies the K-means++ algorithm on the input image, dividing the image into its segments. The proposed algorithm computes the Normalized Average Absolute Difference (NAAD) for each segment and uses it as a measure to determine if the segment has sufficient colour variations. The initial colour constancy adjustment factors for each segment with sufficient colour variation is calculated. The Colour Constancy Adjustment Weighting Factors (CCAWF) for each pixel of the image are determined by fusing the CCAWFs of the segments, weighted by their normalized Euclidian distance of the pixel from the center of the segments. Results show that the proposed method outperforms the statistical techniques and its images exhibit significantly higher subjective quality to those of the learning-based methods. In addition, the execution time of the proposed algorithm is comparable to statistical-based techniques and is much lower than those of the state-of-the-art learning-based methods.
Akmol Hussain; Akbar Sheikh-Akbari; Iosif Mporas. Colour Constancy for Image of Non-Uniformly Lit Scenes. Sensors 2019, 19, 2242 .
AMA StyleAkmol Hussain, Akbar Sheikh-Akbari, Iosif Mporas. Colour Constancy for Image of Non-Uniformly Lit Scenes. Sensors. 2019; 19 (10):2242.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh-Akbari; Iosif Mporas. 2019. "Colour Constancy for Image of Non-Uniformly Lit Scenes." Sensors 19, no. 10: 2242.
Ear recognition is a field in biometrics wherein images of the ears are used to identify individuals. Many techniques have been developed for ear recognition; however, most of the existing techniques have been tested on high-resolution images taken in a laboratory environment. This research examines the performance of Principal Component Analysis (PCA) based ear recognition in conjunction with super-resolution algorithms from low-resolution ear images. Ear images are first split into database and query images; the latter are first filtered and down-sampled, generating a set ear images of different low resolutions. The resulting low-resolution images are then enlarged to their original sizes using an assortment of neural network-based and statistical-based super-resolution methods. PCA is then applied to the images, generating their eigenvalues, which are used as features for matching. Experimental results on the images of a benchmark dataset show that the statistical-based super-resolution techniques, namely those that are wavelet-based, outperform other algorithms with respect to ear recognition accuracy.
Matthew Zarachoff; Akbar Sheikh-Akbari; Dorothy Monekosso. Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues. 2018 IEEE International Conference on Imaging Systems and Techniques (IST) 2018, 1 -6.
AMA StyleMatthew Zarachoff, Akbar Sheikh-Akbari, Dorothy Monekosso. Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues. 2018 IEEE International Conference on Imaging Systems and Techniques (IST). 2018; ():1-6.
Chicago/Turabian StyleMatthew Zarachoff; Akbar Sheikh-Akbari; Dorothy Monekosso. 2018. "Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues." 2018 IEEE International Conference on Imaging Systems and Techniques (IST) , no. : 1-6.
Principal Component Analysis (PCA) has been successfully used for many application including ear recognition. However, its performance is limited due to its significant data dependency. This paper presents a two dimensional multi-band PCA (2D-MBPCA) method, which has shown a significantly higher performance to that of the PCA. The proposed method divided the input gray image into a number of images, based on the intensity of its pixels using either a dynamic or predefined equal range of threshold values. PCA is then applied on the resulting set of images to extract their features. The resulting features are used to find the best match. The application of the proposed 2D-MBPCA for ear recognition using two benchmark ear image datasets, shows the merit of the proposed technique to that of the standard PCA.
Matthew Zarachoff; Akbar Sheikh-Akbari; Dorothy Monekosso. 2D Multi-Band PCA and its Application for Ear Recognition. 2018 IEEE International Conference on Imaging Systems and Techniques (IST) 2018, 1 -5.
AMA StyleMatthew Zarachoff, Akbar Sheikh-Akbari, Dorothy Monekosso. 2D Multi-Band PCA and its Application for Ear Recognition. 2018 IEEE International Conference on Imaging Systems and Techniques (IST). 2018; ():1-5.
Chicago/Turabian StyleMatthew Zarachoff; Akbar Sheikh-Akbari; Dorothy Monekosso. 2018. "2D Multi-Band PCA and its Application for Ear Recognition." 2018 IEEE International Conference on Imaging Systems and Techniques (IST) , no. : 1-5.
This paper presents a high efficiency video codec-based spatial mixed-resolution stereo video codec. The proposed codec applies a frame interleaving algorithm to reorder the stereo video frames into a single stream of monoscopic video. The challenge for mixed-resolution video coding is to enable the codec to encode frames with different frame resolutions. This issue is addressed by superimposing a low-resolution replica of the decoded I-frame on its respective decoded picture, where remaining space of the frame is set to zero. This significantly reduces the computation cost for finding the best match. The proposed codec’s reference frames structure is designed to efficiently exploit both temporal and inter-view correlations. The performance of the proposed codec is assessed using five standard multiview video data sets and benchmarked against that of the anchor and the state-of-the-art techniques. Results show that the proposed codec yields significantly higher coding performance compared with the anchor and state-of-the-art techniques.
Bruhanth Mallik; Akbar Sheikh-Akbari; Ah-Lian Kor. HEVC Based Mixed-Resolution Stereo Video Codec. IEEE Access 2018, 6, 52691 -52702.
AMA StyleBruhanth Mallik, Akbar Sheikh-Akbari, Ah-Lian Kor. HEVC Based Mixed-Resolution Stereo Video Codec. IEEE Access. 2018; 6 ():52691-52702.
Chicago/Turabian StyleBruhanth Mallik; Akbar Sheikh-Akbari; Ah-Lian Kor. 2018. "HEVC Based Mixed-Resolution Stereo Video Codec." IEEE Access 6, no. : 52691-52702.
Extreme presence of the source light in digital images decreases the performance of many image processing algorithms, such as video analytics, object tracking, and image segmentation. This paper presents a color constancy adjustment technique, which lessens the impact of large unvarying color areas of the image on the performance of the existing statistical-based color correction algorithms. The proposed algorithm splits the input image into several non-overlapping blocks. It uses the average absolute difference value of each block's color component as a measure to determine if the block has adequate color information to contribute to the color adjustment of the whole image. It is shown through experiments that by excluding the unvarying color areas of the image, the performances of the existing statistical-based color constancy methods are significantly improved. The experimental results of four benchmark image data sets validate that the proposed framework using Gray World, Max-RGB, and Shades of Gray statistics-based methods' images have significantly higher subjective and competitive objective color constancy than those of the existing and state-of-the-art methods' images.
Akmol Hussain; Akbar Sheikh Akbari. Color Constancy Adjustment Using Sub-Blocks of the Image. IEEE Access 2018, 6, 46617 -46629.
AMA StyleAkmol Hussain, Akbar Sheikh Akbari. Color Constancy Adjustment Using Sub-Blocks of the Image. IEEE Access. 2018; 6 ():46617-46629.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh Akbari. 2018. "Color Constancy Adjustment Using Sub-Blocks of the Image." IEEE Access 6, no. : 46617-46629.
There has been increasing demand for multiview video transmission over band limited channel over past years and various techniques have been proposed to fulfil this need. In this paper, a High Efficiency Video Codec (HEVC) based spatial resolution scaling type of mixed resolution coding model, MRHEVC-MVC, for frame interleaved multiview videos is presented. However, enabling the HEVC to encode video with different frame resolutions is a challenge due to the coding tree partitioning used by the codec. This has been overcome by super-imposing the low resolution replica of each full resolution frame on their respective decoded picture buffer and setting the remaining space of the frame buffer to zero. The codec’s reference frames structure is designed to efficiently encode frame interleaved multiview videos using a HEVC based mixed resolution codec. The proposed MRHEVC-MVC codec has been tested against the standard multiview extension of high efficiency video codec (MV-HEVC) for “Balloon”, “Newspaper1”, “Undo_Dancer”, “Kendo” and ““Poznan_Street” standard multiview video sequences. Results show that the proposed codec gives significantly higher coding performance to that of the MV-HEVC codec at low bitrate both subjectively and objectively.
Bruhanth Mallik; Akbar Sheikh-Akbari; Ah-Lian Kor. Mixed-resolution HEVC based multiview video codec for low bitrate transmission. Multimedia Tools and Applications 2018, 78, 6701 -6720.
AMA StyleBruhanth Mallik, Akbar Sheikh-Akbari, Ah-Lian Kor. Mixed-resolution HEVC based multiview video codec for low bitrate transmission. Multimedia Tools and Applications. 2018; 78 (6):6701-6720.
Chicago/Turabian StyleBruhanth Mallik; Akbar Sheikh-Akbari; Ah-Lian Kor. 2018. "Mixed-resolution HEVC based multiview video codec for low bitrate transmission." Multimedia Tools and Applications 78, no. 6: 6701-6720.
The intrinsic properties of the ambient illuminant significantly alter the true colors of objects within an image. Most existing color constancy algorithms assume a uniformly lit scene across the image. The performance of these algorithms deteriorates considerably in the presence of mixed illuminants. Hence, a potential solution to this problem is the consideration of a combination of image regional color constancy weighing factors (CCWFs) in determining the CCWF for each pixel. This paper presents a color constancy algorithm for mixed-illuminant scene images. The proposed algorithm splits the input image into multiple segments and uses the normalized average absolute difference of each segment as a measure for determining whether the segment's pixels contain reliable color constancy information. The Max-RGB principle is then used to calculate the initial weighting factors for each selected segment. The CCWF for each image pixel is then calculated by combining the weighting factors of the selected segments, which are adjusted by the normalized Euclidian distances of the pixel from the centers of the selected segments. Experimental results on images from five benchmark data sets show that the proposed algorithm subjectively outperforms the state-of-the-art techniques, while its objective performance is comparable with those of the state-of-the-art techniques.
Akmol Hussain; Akbar Sheikh Akbari. Color Constancy Algorithm for Mixed-Illuminant Scene Images. IEEE Access 2018, 6, 8964 -8976.
AMA StyleAkmol Hussain, Akbar Sheikh Akbari. Color Constancy Algorithm for Mixed-Illuminant Scene Images. IEEE Access. 2018; 6 ():8964-8976.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh Akbari. 2018. "Color Constancy Algorithm for Mixed-Illuminant Scene Images." IEEE Access 6, no. : 8964-8976.
This paper presents a mixed resolution stereo video coding model for High Efficiency Video Codec (HEVC). The challenging aspects of mixed resolution video coding are enabling the codec to encode frames with different frame resolution/size and using decoded pictures having different frame resolution/size for referencing. These challenges are further enlarged when implemented using HEVC, since the incoming video frames are subdivided into coding tree units. The ingenuity of the proposed codec's design, is that the information in intermediate frames are down-sampled and yet the frames can retain the original resolution. To enable random access to full resolution decoded frame in the decoded picture buffer as reference frame a downsampled version of the decoded full resolution frame is used. The test video sequences were coded using the proposed codec and standard MV-HEVC. Results show that the proposed codec gives a significantly higher coding performance over the MV-HEVC codec.
Bruhanth Mallik; Akbar Sheikh Akbari; Ah-Lian Kor. HEVC based mixed-resolution stereo video coding for low bitrate transmission. 2017 IEEE International Conference on Imaging Systems and Techniques (IST) 2017, 1 -5.
AMA StyleBruhanth Mallik, Akbar Sheikh Akbari, Ah-Lian Kor. HEVC based mixed-resolution stereo video coding for low bitrate transmission. 2017 IEEE International Conference on Imaging Systems and Techniques (IST). 2017; ():1-5.
Chicago/Turabian StyleBruhanth Mallik; Akbar Sheikh Akbari; Ah-Lian Kor. 2017. "HEVC based mixed-resolution stereo video coding for low bitrate transmission." 2017 IEEE International Conference on Imaging Systems and Techniques (IST) , no. : 1-5.
Studies have shown that mixed resolution based video codecs, also known as asymmetric spatial inter/intra view video codecs are successful in efficiently coding videos for low bitrate transmission. In this paper a HEVC based spatial resolution scaling type of mixed resolution coding model for frame interleaved multiview videos is presented. The proposed codec is designed such that the information in intermediate frames of the center and neighboring views are down-sampled, while the frames still retaining the original size. The codec's reference frames structure is designed to efficiently encode frame interleaved multiview videos using a HEVC based mixed resolution codec. The multiview test video sequences were coded using the proposed codec and the standard MV-HEVC. Results show that the proposed codec gives significantly higher coding performance over the MV-HEVC codec at low bitrates.
Bruhanth Mallik; Akbar Sheikh Akbari; Ah-Lian Kor. Mixed-resolution HEVC based multiview video codec. 2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) 2017, 1 -4.
AMA StyleBruhanth Mallik, Akbar Sheikh Akbari, Ah-Lian Kor. Mixed-resolution HEVC based multiview video codec. 2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON). 2017; ():1-4.
Chicago/Turabian StyleBruhanth Mallik; Akbar Sheikh Akbari; Ah-Lian Kor. 2017. "Mixed-resolution HEVC based multiview video codec." 2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) , no. : 1-4.
Ahmad Ghaffari; Amin Hosseinian-Far; Akbar Sheikh-Akbari. Iris Biometrics Recognition in Security Management. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 73 -96.
AMA StyleAhmad Ghaffari, Amin Hosseinian-Far, Akbar Sheikh-Akbari. Iris Biometrics Recognition in Security Management. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; ():73-96.
Chicago/Turabian StyleAhmad Ghaffari; Amin Hosseinian-Far; Akbar Sheikh-Akbari. 2017. "Iris Biometrics Recognition in Security Management." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 73-96.
B. Mallik; A.S. Akbari; M.A. Hussain; A.L. Kor. A Mixed resolution based High Efficiency Video Codec (HEVC). IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) 2017, 1 .
AMA StyleB. Mallik, A.S. Akbari, M.A. Hussain, A.L. Kor. A Mixed resolution based High Efficiency Video Codec (HEVC). IET 3rd International Conference on Intelligent Signal Processing (ISP 2017). 2017; ():1.
Chicago/Turabian StyleB. Mallik; A.S. Akbari; M.A. Hussain; A.L. Kor. 2017. "A Mixed resolution based High Efficiency Video Codec (HEVC)." IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) , no. : 1.
M.A. Hussain; Akbar Sheikh Akbari. True colour retrieval from multiple illuminant scene's image. IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) 2017, 1 .
AMA StyleM.A. Hussain, Akbar Sheikh Akbari. True colour retrieval from multiple illuminant scene's image. IET 3rd International Conference on Intelligent Signal Processing (ISP 2017). 2017; ():1.
Chicago/Turabian StyleM.A. Hussain; Akbar Sheikh Akbari. 2017. "True colour retrieval from multiple illuminant scene's image." IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) , no. : 1.
Colour constancy is the ability to measure the colour of objects independent of the light source, while colour casting is the presence of unwanted colour in digital images. Colour casting significantly affects the performance of image processing algorithms such as image segmentation and object recognition. The presence of large uniform background within the image considerably deteriorates the performance of many state of the art colour constancy algorithms. This paper presents a colour constancy method using the sub-blocks of the image to alleviate the effect of large uniform colour area of the scene. The proposed method divides the input image into a number of non-overlapping blocks, and Average Absolute Difference (AAD) value of each block colour component is calculated. The blocks with AAD greater than threshold values, which are empirically determined for each colour component, are considered to have sufficient colour information. The selected blocks are then used to determine the scaling factors to achieve achromatic values for the input image colour components. Comparing the performance of the proposed technique with the state of the art methods using images from three datasets shows that the proposed method outperforms the state of the art techniques in the presence of large uniform colour patches.
Akmol Hussain; Akbar Sheikh Akbari; Bruhanth Mallik. Colour constancy using sub-blocks of the image. 2016 International Conference on Signals and Electronic Systems (ICSES) 2016, 113 -117.
AMA StyleAkmol Hussain, Akbar Sheikh Akbari, Bruhanth Mallik. Colour constancy using sub-blocks of the image. 2016 International Conference on Signals and Electronic Systems (ICSES). 2016; ():113-117.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh Akbari; Bruhanth Mallik. 2016. "Colour constancy using sub-blocks of the image." 2016 International Conference on Signals and Electronic Systems (ICSES) , no. : 113-117.
Colour cast is the ambient presence of unwanted colour in digital images due to the source illuminant while colour constancy is the ability to perceive colors of object, invariant to the colour of the source illuminant. Existing statistic based colour constancy methods use whole image pixel values for illuminant estimation. However, not every region of an image contains reliable colour information. Therefore, the presence of large uniform colour patches within the image considerably deteriorates the performance of colour constancy algorithms. This paper presents an algorithm to alleviate the biasing effect of the uniform colour patches of the colour constancy compensation techniques. It employs the k-means clustering algorithm to segment image areas according to their colour information. The Average Absolute Difference (AAD) of each colour component of the segment is calculated and used to identify and exclude segments with uniform colour information from being used for colour constancy adjustments. Experimental results were generated using three benchmark datasets and compared with the state of the art techniques. Results show the proposed technique outperforms existing techniques in the presence of the uniform colour patches and similar to Grey World method in the absent o uniform colour patches.
Akmol Hussain; Akbar Sheikh Akbari; Ahmad Ghaffari. Colour Constancy Using K-Means Clustering Algorithm. 2016 9th International Conference on Developments in eSystems Engineering (DeSE) 2016, 283 -288.
AMA StyleAkmol Hussain, Akbar Sheikh Akbari, Ahmad Ghaffari. Colour Constancy Using K-Means Clustering Algorithm. 2016 9th International Conference on Developments in eSystems Engineering (DeSE). 2016; ():283-288.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh Akbari; Ahmad Ghaffari. 2016. "Colour Constancy Using K-Means Clustering Algorithm." 2016 9th International Conference on Developments in eSystems Engineering (DeSE) , no. : 283-288.
This paper presents a HEVC based multi-view video codec. The frames of the multi-view videos are interleaved to generate a monoscopic video sequence. The interleaving is conducted in a way to increase the exploitation of the temporal and inter-views correlations. The MV-HEVC standard codec is configured to work as a single layered codec, which functions as a monoscipic HEVC codec with AVC capabilities, and used to encode interleaved multi-view video frames. The performance of the codec is compared with the anchor standard MV-HEVC codec by coding the three standard multi-view video sequences: "Balloon", "Kendo" and "Newspaper1". Experimental results show the proposed codec out performs the anchor standard MV-HEVC codec in terms of bitrate and PSNR.
Bruhanth Mallik; Akbar Sheikh Akbari. HEVC Based Multi-view Video Codec Using Frame Interleaving Technique. 2016 9th International Conference on Developments in eSystems Engineering (DeSE) 2016, 181 -185.
AMA StyleBruhanth Mallik, Akbar Sheikh Akbari. HEVC Based Multi-view Video Codec Using Frame Interleaving Technique. 2016 9th International Conference on Developments in eSystems Engineering (DeSE). 2016; ():181-185.
Chicago/Turabian StyleBruhanth Mallik; Akbar Sheikh Akbari. 2016. "HEVC Based Multi-view Video Codec Using Frame Interleaving Technique." 2016 9th International Conference on Developments in eSystems Engineering (DeSE) , no. : 181-185.
Colour constancy refers to the task of revealing the true colour of an object despite ambient presence of intrinsic illuminant. The performance of most of the existing colour constancy algorithms are deteriorated when image contains a big patch of uniform colour. This paper presents a Max-RGB based colour constancy adjustment method using the sub-blocks of the image to significantly reduce the effect of the large uniform colour area of the scene on colour constancy adjustment of the image. The proposed method divides the input image into a number of non-overlapping blocks and computes the Average Absolute Difference (AAD) value of each block's colour component. The blocks with the AADs greater than threshold values are considered having sufficient colour variation to be used for colour constancy adjustment. The Max-RGB algorithm is then applied to the selected blocks' pixels to calculate colour constancy scaling factors for the whole image. Evaluations of the performance of the proposed method on images of three benchmark datasets show that the proposed method outperforms the state of the art techniques in the presence of large uniform colour patches.
Akmol Hussain; Akbar Sheikh Akbari. Max-RGB Based Colour Constancy Using the Sub-blocks of the Image. 2016 9th International Conference on Developments in eSystems Engineering (DeSE) 2016, 289 -294.
AMA StyleAkmol Hussain, Akbar Sheikh Akbari. Max-RGB Based Colour Constancy Using the Sub-blocks of the Image. 2016 9th International Conference on Developments in eSystems Engineering (DeSE). 2016; ():289-294.
Chicago/Turabian StyleAkmol Hussain; Akbar Sheikh Akbari. 2016. "Max-RGB Based Colour Constancy Using the Sub-blocks of the Image." 2016 9th International Conference on Developments in eSystems Engineering (DeSE) , no. : 289-294.
Source Camera identification of digital images can be performed by matching the sensor pattern noise (SPN) of the images with that of the camera reference signature. This paper presents a non-decimated wavelet based source camera identification method for digital images. The proposed algorithm applies a non-decimated wavelet transform on the input image and split the image into its wavelet sub-bands. The coefficients within the resulting wavelet high frequency sub-bands are filtered to extract the SPN of the image. Cross correlation of the image SPN and the camera reference SPN signature is then used to identify the most likely source device of the image. Experimental results were generated using images of ten cameras to identify the source camera of the images. Results show that the proposed technique generates superior results to that of the state of the art wavelet based source camera identification.
Ahmad Ryad Soobhany; Akbar Sheikh-Akbari; Z. Cliffe Schreuders. Source Camera Identification Using Non-decimated Wavelet Transform. Communications in Computer and Information Science 2016, 125 -133.
AMA StyleAhmad Ryad Soobhany, Akbar Sheikh-Akbari, Z. Cliffe Schreuders. Source Camera Identification Using Non-decimated Wavelet Transform. Communications in Computer and Information Science. 2016; ():125-133.
Chicago/Turabian StyleAhmad Ryad Soobhany; Akbar Sheikh-Akbari; Z. Cliffe Schreuders. 2016. "Source Camera Identification Using Non-decimated Wavelet Transform." Communications in Computer and Information Science , no. : 125-133.