Lossless JPEG

About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.

Linear predictor using 3-D projection for video lossless compression

Abstract: Recently, video lossless compression has been developed for applying it to digital cinema, video archiving of contents, etc. Video lossless compression is important in image processing problem since a large image requires a large amount of storage space. The purpose of this paper is to enhance the predictor used for the lossless compression of video. In this paper, we propose the 3-dimensional predictor for the effective prediction. In addition, the three-dimensional spatio-temporal gradient is adopted to improve the conventional image compression methods such as GAP, MED which are two-dimensional predictions based on horizontal and vertical gradients. The spatio-temporal gradient is a spatial data resulted from the projection of triangular prism composed of the neighborhood pixels. From the experimental results compared with the previous prediction methods, we confirmed that the prediction using proposed method is more efficient.

Predictive Coding and Disposal of Quantized Error for Lossless Compression of Images

Abstract: In this paper we propose a new method for lossless compression of grayscale images based on predictive coding,in which qantized error is processed by quadtree coding.The predictive arithmetic makes the process of prediction quicker and easier by using fixed coefficient.And through quadtree coding method for quantized error,complicated course of decimal fraction is avoided.The whole process is easy to realize.The result of experimentation shows that the fina issue of prediction is much smaller than the entropy of original image.

Still image coding using a wavelet-like transform

Abstract: In this paper, a new image coding scheme based on a wavelet-like transform derived from orthogonal polynomial basis is presented. From a set of bivariate orthogonal polynomial functions, we first obtain the 2D non-separable wavelet functions to propose a wavelet-like transform coding. The motivation behind using orthogonal polynomials is that they exhibit some properties related to the human visual system (HVS) [1]. After applying the proposed transformation, the transform coefficients are threshold coded using quantization and bit allocation as in JPEG baseline system. The performance of the proposed transform coding is reported. The proposed coding scheme is also compared with other transform coding methods such as JPEG, JPEG 2000 and JPEG-XR/HDPHOTO.

Jpeg 2000

Abstract: JPEG 2000 Part I which has become an international standard (IS) in December 2000 is reviewed. Parts II to VII relating to extensions, motion JPEG 2000, conformance, reference software, file format and technical report are in various stages of development with IS targeted for the year 2001. JPEG 2000 focuses on efficient coding of grey level and binary still images (compound documents, text, annotation, multi-component, and rendered graphics). JPEG 2000 is superior to the widely popular JPEG and addresses various functionalities and services. It is aimed at emerging technologies such as Internet, E-commerce, mobile multimedia, color facsimile, and digital libraries while providing user controlled bit rates, quality levels and scalabilities (both SNR and spatial). It has lossy, lossless and progressive lossy to lossless modes. Algorithmic operations that constitute the JPEG 2000 standard are presented. Performance evaluation of this new standard and comparison with JPEG and JPEG-LS are discussed.