A novel image restoration scheme based on structured side information and its application to image watermarking

Hui, Wang; Ho, Anthony T. S.; Li, Shujun

doi:10.1016/j.image.2014.05.001

Cited by 15 publications

(7 citation statements)

References 19 publications

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“…The reason for this difference in the quality of regions is the difference in the amount of extracted and used information bits for the blocks of each region. The visual comparison between the proposed method and methods [16,17,18,20] is shown in Fig. 16.…”

Section: Resultsmentioning

confidence: 99%

“…In [15,16], two methods are proposed that the foundation of them are similar. In other words, method [16] is an enhancement on the quality of method [15].…”

Section: Related Workmentioning

confidence: 99%

“…In [15,16], two methods are proposed that the foundation of them are similar. In other words, method [16] is an enhancement on the quality of method [15]. In [15], six bits are created randomly as the authentication watermark for each 8 × 8 block.…”

Section: Related Workmentioning

confidence: 99%

“…The robustness and quality of method [15] is high but it has the blocking effects. The mothod [16] has tried to solve the blocking effects using a linear optimization mechanism and the estimation of the lost coefficients in a DCT transform. The results of mothod [16] are much better than the results of mothod [15].…”

Section: Related Workmentioning

confidence: 99%

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Semi-fragile Tamper Detection and Recovery based on Region Categorization and Two-Sided Circular Block Dependency

Soleymani

2018

Preprint

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This paper presents a new semi-fragile algorithm for image tamper detection and recovery, which is based on region attention and two-sided circular block dependency. This method categorizes the image blocks into three categories according to their texture. In this method, less information is extracted from areas with the smooth texture, and more information is extracted from areas with the rough texture. Also, the extracted information for each type of blocks is embedded in another block with the same type. So, changes in the smooth areas are invisible to Human Visual System. To increase the localization power a two-sided circular block dependency is proposed, which is able to distinguish partially destroyed blocks. Pairwise block dependency and circular block dependency, which are common methods in the block-based tamper detection, are not able to distinguish the partially destroyed blocks. Cubic interpolation is used in order to decrease the blocking effects in the recovery phase. The results of the proposed method for regions with different texture show that the proposed method is superior to non-region-attention based methods.

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Section: Resultsmentioning

confidence: 99%

“…In [15,16], two methods are proposed that the foundation of them are similar. In other words, method [16] is an enhancement on the quality of method [15].…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Semi-fragile Tamper Detection and Recovery based on Region Categorization and Two-Sided Circular Block Dependency

Soleymani

2018

Preprint

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show abstract

“…Their work considers the residual blocks produced by the data hiding algorithm. Wang et al [18] present an image restoration method that is based on on a linear optimization model and restores part of the image from structured side information.…”

mentioning

confidence: 99%