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Just noticeable difference (JND), which reveals the visibility of our human visual system (HVS), is useful for image/video coding. Due to the content complexity, it is hard to accurately estimate the JND thresholds for different image blocks (e.g., edge and texture). Research on cognitive science indicates that the HVS is adaptive to extract the visual regularities for scene perception and understanding...
Variable transform block (TB) sizes cause high computational complexity at the HEVC encoder. In this paper, a fast residual quad-tree (RQT) structure decision method is proposed to reduce the number of candidate transform sizes. The proposed method uses spatial and temporal correlation information in the neighbor blocks to predict the depth of current RQT. In addition, an efficient all zero block...
As the annoying blocking or ghost artifacts tend to appear in the conventional compression approaches either in the JPEG or JPEG2000 standards at low bitrate, the concept of the object-oriented image compression is proposed. This kind of methods is able to retain the image structural boundaries and therefore has relatively good visual qualities even in high compression ratios. In this paper, we propose...
Recently, DCS-cast has shown an advantage in accommodating heterogeneous users over wireless networks by combining SoftCast and Distributed Compressed Sensing (DCS). However, DCS-cast's efficiency is not actually high due to its ignorance of the temporal correlation in each packet at the encoder. This paper proposes an improved scheme named DCT-DCS-cast that removes such temporal correlation through...
A key issue for compressed Sensing (CS) is to design the measurement matrix. However, the traditional measurement matrix is not optimal due to its non-adaptability without showing discrimination to different components. In this paper, a prior information directed stage-wise measurement matrix is proposed for block compressed image sensing, leading to a st-BCS method. In the first stage, the measurement...
In network coding, the successive original video frame data can be transmitted at once. However, if insufficient number of innovative packets are transmitted due to the packet loss or delay, network coding system is to be underdetermined. Thus, since network coding matrix (random coefficient matrix) is not invertible, original data cannot be recovered by matrix inversion. To solve this problem, in...
Currently, there are many applications used vector map data widely. But the production of vector map consumes a lot of money and human resource while vector map data is bought by any user or attacked by pirates, and then they distributed vector map data easily without permission from providers. So, provider desires a method to encrypt vector map data before storing and transmitting to ensure the access...
Saliency detection as an image preprocessing has been widely used in many applications such as image segmentation. Since most images stored in DCT domain, we propose an effective saliency detection algorithm, which is mainly based on DCT and secondary quantization. Firstly, the DC coefficient and the first five AC coefficients are used to get the color saliency map. Then, through secondary quantization...
Learned Sparsifying orthogonal transforms (SOTs) have proven to be a powerful tool for image and video processing. In this paper, we propose a variant of SOT, named compact bases SOT, or CB-SOT, which has several promising features for data compression: (i) as an input-adaptive transform, it can sparsely represent the input data very well; (ii) the transform matrix is orthogonal; (iii) unlike SOT,...
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