DCT-based image/video coding is still popular now. In this paper, a novel embedded image coding scheme based on integer reversible DCT is proposed. It integrates lossy and lossless coding schemes perfectly. The transform is implemented by factoring the float DCT transform matrix into a series of integer reversible transform matrices. We apply the series of matrices to image samples, and encode ...

This paper presents a contour-based approach to e$ciently code binary shape information in the context of object-based video coding. This approach meets some of the most important requirements identi"ed for the MPEG-4 standard, notably e$cient coding and low delay. The proposed methods support both object-based lossless and quasi-lossless coding modes. For the cases where low delay is a primary...

Depth coding in 3D-HEVC for the multiview video plus depth (MVD) architecture (i) deforms object shapes due to block-level edge-approximation; (ii) misses an opportunity for high compressibility at near-lossless quality by failing to exploit strong homogeneity (clustering tendency) in depth syntax, motion vector components, and residuals at frame-level; and (iii) restricts interactivity and lim...

In this paper ,we present an overview of the implementation of navel compound algorithm for efficient low bit rate lossy and ROI lossless Mix Coding of massive three dimensional images. Moreover the compound algorithm can be used for multitasking Remote Sensing field operations and efficient 3-D image transmission applications such as overall image viewing at low bit rate lossy coding , nearly ...

Problem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossl...

Motivated from the fact that universal source coding on countably infinite alphabets is not feasible, this work introduces the notion of “almost lossless source coding”. Analog to the weak variable-length source coding problem studied by Han [3], almost lossless source coding aims at relaxing the lossless block-wise assumption to allow an average per-letter distortion that vanishes asymptotical...

In this paper, we propose an adaptive predictive coding method based on image segmentation for lossless compression. MAR (Multiplicative Autoregressive) predictive coding is an efficient lossless compression scheme. Predictors of the MAR model can be adapted to changes in the local image statistics due to its local image processing. However, the performance of the MAR method is reduced when app...

This paper deals with a universal coding problem for a certain kind of multiterminal source coding network called a generalized complementary delivery network. In this network, messages from multiple correlated sources are jointly encoded, and each decoder has access to some of the messages to enable it to reproduce the other messages. Both fixed-to-fixed length and fixed-to-variable length los...

The Joint Bi-Level Expert Group (JBIG), an international study group affiliated with the ISO/IEC and ITU-T, has recently completed a committee draft of the JBIG2 standard for lossy and lossless bi-level image compression. JBIG2 encoder designers will have to choose from a wide variety of strategies and bitstream parameters to make their encoders efficient and competitive. In this paper, we stud...

In the paper ultimately efficient image lossless coding methods are described. They are based on least-squares adaptive prediction, possibly combined with normalized LMS algorithm. Their performance is comparable to that of TMW, and MRP 0.5 techniques, while their computational complexities are smaller than those for the two reference methods. The new algorithms are supported by an advanced ada...