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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.

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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.