Showing papers on "JPEG 2000 published in 1992"

The JPEG still picture compression standard

Abstract: A joint ISO/CCITT committee known as JPEG (Joint Photographic Experts Group) has been working to establish the first international compression standard for continuous-tone still images, both grayscale and color. JPEG's proposed standard aims to be generic, to support a wide variety of applications for continuous-tone images. To meet the differing needs of many applications, the JPEG standard includes two basic compression methods, each with various modes of operation. A DCT (discrete cosine transform)-based method is specified for 'lossy' compression, and a predictive method for 'lossless' compression. JPEG features a simple lossy technique known as the Baseline method, a subset of the other DCT-based modes of operation. The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications. The author provides an overview of the JPEG standard, and focuses in detail on the Baseline method. >

JPEG: Still Image Data Compression Standard

Abstract: Foreword. Acknowledgments. Trademarks. Introduction. Image Concepts and Vocabulary. Aspects of the Human Visual Systems. The Discrete Cosine Transform (DCT). Image Compression Systems. JPEG Modes of Operation. JPEG Syntax and Data Organization. Entropy Coding Concepts. JPEG Binary Arithmetic Coding. JPEG Coding Models. JPEG Huffman Entropy Coding. Arithmetic Coding Statistical. More on Arithmetic Coding. Probability Estimation. Compression Performance. JPEG Enhancements. JPEG Applications and Vendors. Overview of CCITT, ISO, and IEC. History of JPEG. Other Image Compression Standards. Possible Future JPEG Directions. Appendix A. Appendix B. References. Index.

Improved decoder for transform coding with application to the JPEG baseline system

Abstract: Transform coding, a simple yet efficient image coding technique, has been adopted by the Joint Photographic Experts Group (JPEG) as the basis for an emerging coding standard for compression of still images. However, for any given transform encoder, the conventional inverse transform decoder is suboptimal. Better performance can be obtained by a nonlinear interpolative decoder that performs table lookups to reconstruct the image blocks from the code indexes. Each received code index of an image block addresses a particular codebook to fetch a component vector. The image block can be reconstructed as the sum of the component vectors for that block. An iterative algorithm for designing a set of locally optimal codebooks is developed. Computer simulation results demonstrate that this improved decoding technique can be applied in the JPEG baseline system to decode enhanced quality pictures from the bit stream generated by the standard encoding scheme. >

On the JPEG model for lossless image compression

Abstract: The JPEG lossless arithmetic coding algorithm and a predecessor algorithm called Sunset both employ adaptive arithmetic coding with the context model and parameter reduction approach of Todd et al. The authors compare the Sunset and JPEG context models for the lossless compression of gray-scale images, and derive new algorithms based on the strengths of each. The context model and binarization tree variations are compared in terms of their speed (the number of binary encodings required per test image) and their compression gain. In this study, the Bostelmann (1974) technique is studied for use at all resolutions, whereas in the arithmetic coded JPEG lossless, the technique is applied only at the 16-bit per pixel resolution. >

VLSI implementation of an image compression algorithm with a new bit rate control capability

Abstract: An image compression algorithm with a new bit rate control capability is presented. The bit rate control technique is developed for use in conjunction with the JPEG baseline image compression algorithm. The new method is an extension of the previously developed algorithm which is implemented in the Zoran 031 image compression chip set. The chip set comprises a discrete cosine transform (DCT) processor and an image compression coder/decoder. Both methods and the chip set are discussed in detail. >

A Single Chip Cornpression/decompression LSI Based On JPEG

Abstract: A digital image compression and decompression LSI conforming to the international JPEG (Joint Photographic Experts Group) standard is described. The features of this LSI are discussed. The functional blocks of the design used to implement these features are detailed. >

Quantization scheme for JPEG baseline sequential encoding of still images

Abstract: A quantization scheme for discrete cosine transform (DCT) coefficients in the Joint Photographic Experts Group's (JPEGs) baseline sequential method for image compression is proposed. The DCT coefficients should be quantized to achieve maximum compression without degrading the visual image quality. The scheme is adaptive to the image characteristics and is statistical in nature. The results are evaluated in terms of compression, root-mean-square error, and subjective visual quality, 8-b/pixel monochrome images of size 512 * 512 have been compressed in the range 0.4-1 b/pixel with good to excellent quality. >

Compression gain aspects of JPEG image compression

Abstract: A set of still image compression algorithms developed by the Joint Photographic Experts Group (JPEG) is becoming an international standard. Here we apply a methodology to study the compression obtained by each step of the three-step baseline sequential algorithm. We present results, observations, and analysis on simulating the JPEG sequential baseline system. The primary compression gain comes from run-length coding of zero coefficients. Based on our simulator, a comparison of Huffman coding, WNC arithmetic coding, and the LZW algorithm is also included.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Applicability of a standardized discrete cosine transform coding method to character images

Abstract: The Joint Photographic Experts Group (JPEG) baseline system, which is scheduled to be standardized in 1992, is applied to character images, and the characteristics of the application are investigated. The JPEG system is suitable for continuous-tone images, however, continuous-tone images are usually accompanied by characters. The image quality of characters is investigated on various magnitudes of quantization tables and the deterioration mechanisms are discussed. A method of image quality improvement that is accomplished by density transformation after decoding is proposed and its effects are confirmed.

Hybrid JPEG/recursive block coding of images

Abstract: The tile effect is an artifact which considerably degrades the visual quality of the images coded at bit rates less than 1 bpp. A new algorithm called JPEG/RBC which is based on a two source decomposition of a noncausal model fits closely within the broad framework of the JPEG standard. Preliminary results indicate substantial improvement in performance and bit rates in addition to the mitigation of the tile effect.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.