Khaled Hebbache

Mr. Khaled Hebbache


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 July 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
KHKhaled Hebbache
Khaled Hebbache
BKBelal Khaldi
Belal Khaldi
AOaiadi oussama
aiadi oussama
ABAli Benziane
Ali Benziane
The growing adoption of telemedicine necessitates robust security measures for medical images during transmission. This paper proposes a novel blind watermarking system for medical images that utilizes both image gradients and the Discrete Wavelet Transform (DWT). Image gradients, acting as spatial derivatives, provide a “topological map” of the image, aiding in the identification of areas susceptible to disruption. The DWT, with its multi-resolution analysis, offers a favorable balance between robustness and imperceptibility. The proposed method embeds the watermark within the low–low band (LL) of the DWT-decomposed image, specifically in 3 × 3 block regions selected based on gradient information. The mathematical relationships between the gradient’s direction and magnitude are employed to extract the corresponding blocks and their codes adequately. These codes are then XORed with the watermark and embedded into the chosen blocks using the least significant bit (LSB) technique. Extensive experimentation on a medical image dataset evaluates the system’s performance against some attacks like filtering, noise, and scaling. The results demonstrate the efficacy of the proposed approach in hiding information while ensuring the security and integrity of watermarked medical images.

8 March 2025 in Circuits, Systems, and Signal Processing
Verified
Journal Article
Closed access
PDF file
KHKhaled Hebbache
Khaled Hebbache
AOaiadi oussama
aiadi oussama
BKBelal Khaldi
Belal Khaldi
ABAli Benziane
Ali Benziane