A Robust Visually Secure Bit Plane Image Encryption Using Chaotic Map and SHA-512

Nov 26, 2024 - Jan 9, 2025

Publisher Saygin Siddiq Ahmed

DOI 10.1109/ETECTE63967.2024.10823709

Country Lahore

Location Lahore, Pakistan

Visit Conference

COMPRESSIVE SENSING MEASUREMENTS RECONSTRUCTED BY OMP-PKS ALGORITHM BASED ON WATERMARKING ALGORITHM IN THE SPARSE IMAGE

Jul 1, 2016 - Sep 1, 2016

Publisher International Energy & Engineering Conference

DOI -

Country Gaziantep

Location Gaziantep - Turkey

The Compressive Sensing (CS) approach is used for signal or image acquisition. This signal or image must be sparse in basis domains. The CS provides a better reconstruction for sparse signals. It reconstructs the sparse signal at a sampling rate significantly less than the Nyquist rate by using various reconstruction methods. In this paper, the CS idea and watermarking image are combined. The watermarking image is embedded into the CS measurement vectors that are sparse in suitable basis. The watermarked measurement vectors are reconstructed by using three reconstruction algorithms L1 norm minimization (L1 min), Orthogonal Matching Pursuit (OMP) and the Orthogonal Matching Pursuit with Partially Known Support (OMP-PKS). L1 min is used for estimating a sparse inverse covariance matrix based on a sample of Identical and Independent Distribution (IID) by using the invariant random variables. The OMP algorithm is used to recover the sparse signal by using some iteration. At each iteration, the maximum correlation between columns of the sensing matrix and the current residual vector is evaluated. The OMP-PKS is also reconstruction algorithm. It provides a prior knowledge about coefficients of the sparse signal, which are some of these coefficients most important than the other coefficients. After the watermarked CS measurements are reconstructed, the watermarking approach uses two decoder algorithms to detect the watermarking image. The different values of the measurement rate M/N and Sparsity rate K/N are taken. So, for each value of M/N and K/N, the PSNR values are separately calculated. The results compare performance of the three reconstruction algorithms L1 min, OMP, and OMP-PKS. Experimental results prove that the OMP-PKS algorithm has a high performance, and better efficiency to reconstruct the watermarked CS measurements, accordingly requiring a lower number of samples than the other two reconstruction algorithms. Also, qualities of the recovered image by using the OMP-PKS algorithm and the extracted watermarking image have a higher accuracy than the other two reconstruction approaches. Also, the OMP-PKS algorithm saves the cost in time and space.

Visit Conference

PERFORMANCE EVALUATION OF HARMONICS ON POWER QUALITY: CASE STUDY

Sep 1, 2015 - Jan 13, 2016

Publisher https://gaun-uemk.wixsite.com/ijees

Country Gaziantep

Location Gaziantep - Turkey

Visit Conference

Design of Wireless Patient Monitor

Aug 2, 2017 - Oct 12, 2017

Publisher uemk

DOI -

Country Gaziantep

Location Gaziantep - Turkey

Visit Conference

REAL TIME DESIGN OF WIRELESS PATIENT MONITOR

Jul 3, 2018 - Nov 22, 2018

Publisher EJONS

DOI ISSN 2602-4136

Country Gaziantep

Location Gaziantep - Turkey

Visit Conference