Reversible data embedding has drawn lots of interest recently, specially in the field of protection for cultural heritage and medical image. Being reversible, the original digital content can be completely restored. This paper uses Tian's algorithm of difference expansion as reversible watermarking scheme for the protection of cultural heritage and medical image. Lifting together with channel coding is used to increase the detection performance of extracted watermark bits. Experimental results and performance comparison with other reversible data hiding schemes are presented to demonstrate the validity of the proposed algorithm.
In the area of full-reference (FR) objective 'image quality assessment' (IQA), a huge amount of improvement has been done in the last few years that can calculate image quality, consistently. Contrarily, query-based image/video databases and search engines retrieve related data using 'ranking and indexing' depending on stored content. It is also to be noted that both techniques use feature extraction to achieve their goal. The efficiency of seven selected FR-IQA schemes is described in this article for the retrieval of an image signal. Extensive tests are done on two freely accessible databases. The comparison results express that mean-structural-similarity-index-measure (MSSIM), and feature-similarity-index-measure (FSIM) offer superior outcome than other IQA models. Our assessment outcome and the related thought will be very much useful for the researchers to understand the latest application areas of the IQA model in the area of image searching and retrieval.
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