Rajeev Kumar

Dr. Rajeev Kumar

Delhi Technological University, Delhi, India
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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18 March 2024 in Multimedia Tools and Applications
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AKAnukriti Kaushal
Anukriti Kaushal
SKSanjay Kumar
Sanjay Kumar
RKRajeev Kumar
Rajeev Kumar

23 October 2023 in IEEE Transactions on Multimedia
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ANAnkur
Ankur
RKRajeev Kumar
Rajeev Kumar
Sharma AjaySharma Ajay
Sharma Ajay
Reversible data hiding in encrypted images (RDHEI) has gained significant popularity among security and privacy researchers as well as users, because of its features such as reversibility, embedding capacity (EC), and security. To enlarge the EC while ensuring the complete reversibility and security, we propose a bit-plane based RDHEI method based on multi-level blocking with quad-tree. The proposed method uses median edge detector (MED) as well as difference predictor to transform the original input image into a low-magnitude difference matrix. The difference matrix is then encoded by first employing a novel quad-tree based bit-plane representation strategy to exploit the intra-bit plane correlation and subsequently by inter bit-plane redundancy mitigation strategy to exploit inter bit-plane level correlation, for significantly condensing their size. Thus, a bigger room is reserved inside the cover image for embedding, so that a large amount of secret data can be hidden while ensuring the complete reversibility of the image. Experimental results validate the superiority of the proposed method over the state-of-the-art methods.

23 August 2024 in Earth Science Informatics
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PRPallavi Ranjan
Pallavi Ranjan
AGAshish Girdhar
Ashish Girdhar
ANAnkur
Ankur
RKRajeev Kumar
Rajeev Kumar

18 June 2021 in IEEE Signal Processing Letters
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Neeraj KumarNeeraj Kumar
Neeraj Kumar
RKRajeev Kumar
Rajeev Kumar
Roberto CaldelliRoberto Caldelli
Roberto Caldelli
Pixel-value-ordering (PVO) is one of the most widely used reversible data hiding (RDH) framework which efficiently utilizes smooth pixels of the cover image to provide high-fidelity stego-image but with limited embedding capacity. This letter proposes an RDH scheme based on local moment driven pixel value ordering (LM-PVO) which further enhances the effectiveness of smooth pixels utilization by dividing the fixed-size blocks into two groups. Pixels of each group are sub-divided into two sub-groups based on the local moment of the block so that correlation among the pixels of each sub-group is enhanced. Thus doing, the pixels of each sub-group are grouped based on their intensity values instead of their position as in the conventional PVO-based schemes; this enables information hider to embed a higher amount of secret data while also enhancing the stego-image quality. Experimental results also validate the superiority of the proposed scheme over the existing PVO-based RDH schemes.

20 February 2024 in Neural Computing and Applications
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PRPallavi Ranjan
Pallavi Ranjan
RKRajeev Kumar
Rajeev Kumar
AGAshish Girdhar
Ashish Girdhar