Wavelet Based Image Coding Schemes : A Recent Survey <s> INTRODUCTION <s> For the past few years, 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-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. This article provides an overview of the JPEG standard, and focuses in detail on the Baseline method. <s> BIB001 </s> Wavelet Based Image Coding Schemes : A Recent Survey <s> INTRODUCTION <s> This paper analyzed two different compressio algorithms,i.e. DCT_based and Wavelet_based ways, and pointed out the superiority of the latter. Also its applied representation_JPEG2000 was introduced. <s> BIB002 </s> Wavelet Based Image Coding Schemes : A Recent Survey <s> INTRODUCTION <s> Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. Data Compression provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. The presentation is organized into the main branches of the field of data compression: run length encoding, statistical methods, dictionary-based methods, image compression, audio compression, and video compression. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and nonspecialists. Topics and features: coverage of video compression, including MPEG-1 and H.261 thorough coverage of wavelets methods, including CWT, DWT, EZW and the new Lifting Scheme technique complete audio compression QM coder used in JPEG and JBIG, including new JPEG 200 standard image transformations and detailed coverage of discrete cosine transform and Haar transform coverage of EIDAC method for compressing simple images prefix image compression ACB and FHM curve compression geometric compression and edgebreaker technique.Data Compression provides an invaluable reference and guide for all computer scientists, computer engineers, electrical engineers, signal/image processing engineers and other scientists needing a comprehensive compilation for a broad range of compression methods. <s> BIB003
Today's digital world deals with huge amounts of digital data (audio, image & video). Despite the rapid progress in system performance, processor speed and mass storage density; demand for greater digital data storage capacity and transmission bandwidth is overwhelming. Data compression BIB003 , particularly image compression  plays a very vital role in the field of multimedia computer services and other telecommunication applications. The field of image compression has a wide spectrum of methods ranging from classical lossless techniques and popular transform approaches to the more recent segmentation based (or second generation) coding methods. Until recently, the discrete cosine transform (DCT)  has been the most popular technique for compression due to its optimal performance and ability to be implemented at a reasonable cost. Several commercially successful compression algorithms, such as the JPEG standard BIB001 for still images and the MPEG standard  for video images are based on DCT. Wavelet-based techniques  are the latest development in the field of image compression which offers multiresolution capability leading to superior energy compaction with high quality reconstructed images at high compression ratios. The wavelet transform has emerged as a cutting edge technology, within the field of image compression. The DWT has taken over DCT BIB002 due to its ability to solve the problem of blocking artifacts introduced during DCT compression. It also reduces the correlation between the neighboring pixels and gives multi scale sparse representation of the image. Wavelet compression provides excellent results in terms of rate-distortion compression. Over the past few years, a variety of powerful and sophisticated wavelet-based schemes for image compression have been developed and implemented. The new ISO/ITU-T standard for still image coding, JPEG 2000, is a wavelet-based compression algorithm. This second generation algorithm is being designed to address the requirements of different kinds of applications including internet, digital photography, image databases, document imaging, remote sensing, scanning, laser printing, facsimile, mobile applications, medical imagery, digital library etc. The paper is organized in the following way. Section II deals with the basics of image compression. A discussion of performance measures of different algorithms is presented in section III. A brief introduction on wavelets for image compression is described in section IV. Section V gives an outline of various state of the art wavelet-based coding schemes. The salient features of each of these schemes are discussed in later sub-sections. The comparison of different wavelet based methods is given in section VI as a summary and the paper is concluded in section VII.