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Subhajit Das
Researcher at VLSI Technology
Publications - 5
Citations - 40
Subhajit Das is an academic researcher from VLSI Technology. The author has contributed to research in topics: Digital watermarking & Field-programmable gate array. The author has an hindex of 4, co-authored 5 publications receiving 39 citations.
Papers
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Journal ArticleDOI
VLSI-Based Pipeline Architecture for Reversible Image Watermarking by Difference Expansion with High-Level Synthesis Approach
TL;DR: The obtained structural similarity (SSIM) performance quality metric of the RIW algorithm from MATLAB simulation is compared with the SSIM obtained from hardware, and excellent agreements between them are observed.
Proceedings ArticleDOI
FPGA and SoC based VLSI architecture of reversible watermarking using rhombus interpolation by difference expansion
TL;DR: The results show the viability of low cost, high speed and real-time use of the proposed VLSI architecture of rhombus interpolation based reversible watermarking by difference expansion.
Proceedings ArticleDOI
An adaptive feedback based reversible watermarking algorithm using difference expansion
TL;DR: An adaptive feedback based Reversible Watermarking (RW) algorithm using Difference Expansion (DE) is designed for gray-scale still pictures and indicates that the proposed algorithm has low timing complexity over other existing non-feedback based RW algorithms which in turn provide higher speed.
Proceedings ArticleDOI
Digital Design and Pipelined Architecture for Reversible Watermarking Based on Difference Expansion Using FPGA
TL;DR: This paper focuses on the digital design with pipelined architecture of reversible watermarking algorithm based on Difference Expansion (DE) which is linear and whose running time is O (n) and is implemented on Xilinx based FPGA.
Journal ArticleDOI
Hardware implementation of adaptive feedback based reversible image watermarking for image processing application
TL;DR: The software implementation results clearly demonstrated that the AFRIW method provides higher PSNR than the DE-based RIW method and the hardware implementation results indicate that the proposed algorithm has low timing complexity over other existing feedback based RIW algorithms which in turn provide higher speed.