In this paper, we propose an analysis of the residual information of the HEVC. We focus specifically on analyzing the coding of the DC coefficient and its effect on bit consumption. We investigate on the possibilities and the limits of coding the DC coefficient, in a lossless coding way, by changing the process to the encoding a spatial translation value or the residual blocks instead of the tr...

In this paper, a fast lossless image compression method is introduced for compressing medical images, it is based on splitting the image blocks according to its nature along with using the polynomial approximation to decompose image signal followed by applying run length coding on the residue part of the image, which represents the error caused by applying polynomial approximation. Then, Huffma...

This paper presents a new lossless image compression method based on the learning of pixel values and contexts through multilayer perceptrons (MLPs). The prediction errors obtained by MLPs are forwarded to adaptive arithmetic encoders, like conventional schemes. MLP-based has long been attempted for compression, recently convolutional neural networks (CNNs) also adopted lossy/lossless coding. W...

In this paper, we propose and investigate simple bit-error aware lossless compression algorithms for the compression and transmission of image data under the bit-error environment. We focus on enhancing two-stage lossless compression algorithms. The first stage uses a simple linear predictor, whereas at the second stage, we apply bi-level block coding, interval entropy coding, and standard entr...

A wavelet-based lossy-to-lossless image compression technique with polygon-shaped ROI function is proposed. Firstly, split and mergence algorithms are proposed to separate concave ROIs into smaller convex ROIs. Secondly, row-order scan and an adaptive arithmetic coding are used to encode the pixels in ROIs. Thirdly, a lifting integer wavelet transform is used to decompose the original image in ...

Video coding standards are primarily designed for efficient lossy compression, but it is also desirable to support efficient lossless compression within video coding standards using small modifications to the lossy coding architecture. A simple approach is to skip transform and quantization, and simply entropy code the prediction residual. However, this approach is inefficient at compression. A...

| This paper presents a lossless block-transform coder based on the Hadamard transform that achieves a compression ratio as good as that of the current lossless JPEG-standard and about 10 to 20% lower than the currently best state-of-the-art technique Calic. The main advantage of the proposed technique is that it produces an embedded data stream which may be truncated to achieve lossy compressi...

This paper describes a method which use the well known S+P and TT transforms to encode an especially important part an image, a Region Of Interest (ROI) in a lossless mode. Other parts of the image (the Background) are given lower quality levels allowing higher compression. The ROI coding is done in the framework of an embedded wavelet based image compression algorithm. All coding, regional and...