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This paper presents a clustering and optimizing pixel prediction method for reversible data hiding, which exploits self-similarities and group structural information of image patches. Pixel predictors plays an important role for current prediction-error expansion (PEE) based reversible data hiding schemes. Instead of using a fixed or a content-adaptive predictor for each pixel independently, we first...
Motion estimation plays a vital role in video compression and many algorithms have been introduced to implement it. PSNR and computational complexity are two major factors comparing these algorithms. In general, algorithms with high PSNRs are most often suffer from excessive computational overhead. Among the existing ideas, predictive motion estimation recently has been considered as a prone to improve...
Vision is the sum of images seen by the eyes in three dimensional ways. Any image has a specific size in the memory of the system; the latter could be compressed or decompressed using several methods. This paper starts with a modern technique for compression called block matching. This technique leads to a high compression rate. Through the block matching technique, the information amount rested is...
Image compression is one of the most important step in image transmission and storage. Most of the state-of-art image compression techniques are spatial based. In this paper, a histogram based image compression technique is proposed based on multi-level image thresholding. The gray scale of the image is divided into crisp group of probabilistic partition. Shannon's Entropy is used to measure the randomness...
Motion Estimation (ME) palys a crucial part in frame rate up-conversion (FRUC) and video compression. One popular chip estimator, 3-D Recursive Search (3DRS), has achieved success in nowadays high definition televisions(HDTV). However, for future ultra high definition television (UHDTV) applications, the amount of computation increases exponentially. Therefore, there is an urgent need for further...
This paper deals with data hiding in uncompressed video. Unlike using motion vector for data hiding which gives only a coarse representation of the actual motion. We target the motion at the pixel level. The frame difference is used to construct a motion histogram and the cover sequence for hiding data is obtained from the histogram. The secret message bitstream is embedded into this sequence by finding...
A new 2D frequency-response-shaped least mean square (2D FRS-LMS) adaptive filter is proposed by developing the 1D FRS-LMS. The new algorithm reuses data in both horizontal and vertical directions within the space plane to update the weight vector of the filter. Further, the proposed algorithm involves the multiplication of the filter coefficient vector by a variable matrix in the coefficient updating...
Secret image sharing based on Shamir's secret sharing scheme provides fault tolerance and trust to group policy during transmission of secret images over networks. After its initial use, research is focused on improving both visual quality of stego images accommodating shared values and authentication mechanism ensuring correctness of stego images. Most of the methods use LSB embedding to hide shared...
The Least Significant Bit (LSB) substitution is an old and simple data hiding method that could almost effortlessly be implemented in spatial or transform domain over any digital media. This method can be attacked by several steganalysis methods, because it detectably changes statistical and perceptual characteristics of the cover signal. A typical method for steganalysis of the LSB substitution is...
An intra prediction (IP) scheme based on 2D geometrical manipulation, called 2DIP, was proposed in to improve the line-based intra prediction (LIP) in H.264/AVC. In this work, we propose ways to reduce the complexity and enhance the efficiency of 2DIP and call the resultant scheme 2D enhanced intra prediction (2DEIP). These enhancements are achieved via block classification and translation vector...
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