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A New Reference Pixel Prediction for Reversible Data Hiding with Reduced Location Map
( Jeanne Chen ),( Tung-shou Chen ),( Wien Hong ),( Gwoboa Horng ),( Han-yan Wu ),( Chih-wei Shiu ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.3
In this paper, a new reversible data hiding method based on a dual binary tree of embedding levels is proposed. Four neighborhood pixels in the upper, below, left and right of each pixel are used as reference pixels to estimate local complexity for deciding embeddable and non-embeddable pixels. The proposed method does not need to record pixels that might cause underflow, overflow or unsuitable for embedment. This can reduce the size of location map and release more space for payload. Experimental results show that the proposed method is more effective in increasing payload and improving image quality than some recently proposed methods.
Lossless VQ Indices Compression Based on the High Correlation of Adjacent Image Blocks
( Zhi-hui Wang ),( Hai-rui Yang ),( Chin-chen Chang ),( Gwoboa Horng ),( Ying-hsuan Huang ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.8
Traditional vector quantization (VQ) schemes encode image blocks as VQ indices, in which there is significant similarity between the image block and the codeword of the VQ index. Thus, the method can compress an image and maintain good image quality. This paper proposes a novel lossless VQ indices compression algorithm to further compress the VQ index table. Our scheme exploits the high correlation of adjacent image blocks to search for the same VQ index with the current encoding index from the neighboring indices. To increase compression efficiency, codewords in the codebook are sorted according to the degree of similarity of adjacent VQ indices to generate a state codebook to find the same index with the current encoding index. Note that the repetition indices both on the search path and in the state codebooks are excluded to increase the possibility for matching the current encoding index. Experimental results illustrated the superiority of our scheme over other compression schemes in the index domain.