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.

Lossless coding for progressive archival of multispectral images

Abstract: A nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless coding of multispectral images. The merit of this new scheme is to exploit efficiently both the spatial and the spectral redundancies contained in a multispectral image sequence. Besides, it is suitable for progressive coding, which constitutes a desirable feature for telebrowsing applications. Simulation tests performed on real scenes allow assessment of the performances of this new multiresolution coding algorithm. The achieved compression ratios are higher than those obtained with currently used lossless coders.

Lossless Compression of Fluoroscopy Medical Images Using Correlation

Abstract: Medical institutions generate an enormous amount of medical images for examinations such as fluoroscopy, where each examination of a patient consists of a collection of images. This takes up a large amount of valuable storage space, in addition to the amount of time and cost incurred during transmission. Although lossy compression provides for better compression, lossless compression is usually required and expected for medical diagnosis. This paper proposes a new method for a lossless compression on oesophagus fluoroscopy images using correlation. The differences of pairs or sequence of images are classified based on correlation. From the experimental results obtained, the proposed method achieved improved performance with a compression ratio of 7.97 as compared to standard Huffman coding (HM) loss less compression.

Improvements to SPIHT for Lossless Image Coding

Abstract: The SPIHT (set partitioning in hierarchical trees) algorithm has attracted great attention in recent years as a technique for image coding. Not only does it give good objective and subjective performance, it is also simple and efficient. In this paper we propose an enhanced image lossless image compression that is based on SPIHT The most important modification in this algorithm is the addition of a simple modification to the set of type A with a new test on the threshold. Our experiments show that this improvement increases the performance of lossless image coding for all standard test images.

Investigation of Lossless Audio Compression using IEEE 1857.2 Advanced Audio Coding

Abstract: Audio compression is a method of reducing the space demand and aid transmission of the source file which then can be categorized by lossy and lossless compression. Lossless audio compression was considered to be a luxury previously due to the limited storage space. However, as storage technology progresses, lossless audio files can be seen as the only plausible choice for those seeking the ultimate audio quality experience. There are a lot of commonly used lossless codecs are FLAC, Wavpack, ALAC, Monkey Audio, True Audio, etc. The IEEE Standard for Advanced Audio Coding (IEEE 1857.2) is a new standard approved by IEEE in 2013 that covers both lossy and lossless audio compression tools. A lot of research has been done on this standard, but this paper will focus more on whether the IEEE 1857.2 lossless audio codec to be a viable alternative to other existing codecs in its current state. Therefore, the objective of this paper is to investigate the codec’s operation as initial measurements performed by researchers show that the lossless compression performance of the IEEE compressor is better than any traditional encoders, while the encoding speed is slower which can be further optimized.

JPEG2000: A review and its performance comparison with JPEG

Abstract: The JPEG2000 standard is a wavelet based image compression system that is capable of providing effective lossy and lossless compression This standard is motivated primarily by the need for compressed image representations that offer new features increasingly demanded by modern applications and also offering superior compression performance especially at low bit rates Embedded lossy to lossless coding, progressive transmission by pixel accuracy and resolution, error resilience, region of interest coding are some of the key features of JPEG2000This paper provides a review of the JPEG2000 standard, explaining the technology on which it is based A performance comparison of JPEG2000 with JPEG is also shown in terms of image quality and compression ratio A brief survey on rate control algorithms suggested for JPEG2000 is also presented At very low bit rates, ringing artifact is observed in JPEG2000 coded images A brief discussion of ringing artifact and various methods already suggested in previous papers is also reviewed