University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A Novel Image Restoration Scheme Based on Structured Side Information and Its Application to Image Watermarking

Wang, H, Ho, ATS and Li, S (2014) A Novel Image Restoration Scheme Based on Structured Side Information and Its Application to Image Watermarking Signal Processing: Image Communication, 29, 7. pp. 773-787.

[img]
Preview
Text
SPIC2014.pdf - ["content_typename_Accepted version (post-print)" not defined]
Available under License : See the attached licence file.

Download (1MB) | Preview
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

This paper presents a new image restoration method based on a linear optimization model which restores part of the image from structured side information (SSI). The SSI can be transmitted to the receiver or embedded into the image itself by a digital watermarking technique. In this paper we focus on a special type of SSI for digital watermarking where the SSI is composed of mean values of 4×4 image blocks which can be used to restore manipulated blocks. Different from existing image restoration methods for similar types of SSI, the proposed method minimizes image discontinuity according to a relaxed definition of smoothness based on a 3×3 averaging filter of four adjacent pixel value differences, and the objective function of the optimization model has a second regularization term corresponding to a second-order smoothness criterion. Our experiments on 100 test images showed that given complete information of the SSI, the proposed image restoration technique can outperform the state-of-the-art model based on a simple linear optimization model by around 2 dB in terms of an average Peak Signal-to-Noise Ratio (PSNR) value and around 0.04 in terms of a Structural Similarity Index (SSIM) value. We also tested the robustness of the image restoration method when it is applied to a self-restoration watermarking scheme and the experimental results showed that it is moderately robust to errors in SSI (which is embedded as a watermark) caused by JPEG compression (the average PSNR value remains above 16.5 dB even when the JPEG QF is 50), additive Gaussian white noises (the average PSNR value is approximately 18.4 dB when the noise variance σ^2 is 10) and image rescaling assuming the original image size is known at the receiver side (e.g. the average PSNR value is approximately 19.6 dB when the scaling ratio is 1.4).

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
AuthorsEmailORCID
Wang, HUNSPECIFIEDUNSPECIFIED
Ho, ATSUNSPECIFIEDUNSPECIFIED
Li, SUNSPECIFIEDUNSPECIFIED
Date : 2014
Identification Number : 10.1016/j.image.2014.05.001
Related URLs :
Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Signal Processing: Image Communication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Signal Processing: Image Communication, 29, August 2014, DOI 10.1016/j.image.2014.05.001.
Depositing User : Symplectic Elements
Date Deposited : 05 Aug 2014 09:38
Last Modified : 05 Aug 2014 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/805764

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800