An Improved DC Recovery Method from AC Coefficients of DCT-Transformed Images

02/08/2010
by   Shujun Li, et al.
0

Motivated by the work of Uehara et al. [1], an improved method to recover DC coefficients from AC coefficients of DCT-transformed images is investigated in this work, which finds applications in cryptanalysis of selective multimedia encryption. The proposed under/over-flow rate minimization (FRM) method employs an optimization process to get a statistically more accurate estimation of unknown DC coefficients, thus achieving a better recovery performance. It was shown by experimental results based on 200 test images that the proposed DC recovery method significantly improves the quality of most recovered images in terms of the PSNR values and several state-of-the-art objective image quality assessment (IQA) metrics such as SSIM and MS-SSIM.

READ FULL TEXT

page 3

page 4

page 5

research
12/12/2020

Coverless Video Steganography based on Maximum DC Coefficients

Coverless steganography has been a great interest in recent years, since...
research
07/18/2023

Regression-free Blind Image Quality Assessment

Regression-based blind image quality assessment (IQA) models are suscept...
research
11/02/2022

Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem

Recovering unknown, missing, damaged, distorted or lost information in D...
research
05/03/2022

Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction

Non-Cartesian sampling with subspace-constrained image reconstruction is...
research
10/10/2015

Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients

The wavelet frame systems have been widely investigated and applied for ...
research
04/15/2022

Recovery by discretization corrected particle strength exchange (DC PSE) operators

A new recovery technique based on discretization corrected particle stre...
research
12/20/2022

Image quality prediction using synthetic and natural codebooks: comparative results

We investigate a model for image/video quality assessment based on build...

Please sign up or login with your details

Forgot password? Click here to reset