An eecient compression/decompression scheme is described for the compression of image data gathered for engineering use on Mars Pathhnder: the image is pixel-averaged at diierent downsampling factors horizontally and vertically (step 1), JPEG compressed (step 2), JPEG decompressed (step 3) and interpolated to its original size (step 4). Optimal interpolation lters (step 4) are derived to minimi...

This chapter covers the JPEG compression algorithm, which is primarily used for full-color still image applications. First, we describe various image presentations, such as RGB, YUV, and YCbCr, and standard image formats. Then, we describe all components of the JPEG algorithm including discrete cosine transform, quantization, and entropy encoding. We also define both encoder and decoder archite...

JPEG-LS is the latest pixel based lossless to near lossless still image coding standard introduced by the Joint Photographic Experts Group (JPEG) '. In this standard simple localized edge detection techniques are used in order to determine the predictive value of each pixel. These edge detection techniques only detect horizontal and vertical edges and the corresponding predictors have only been...

Recently, the JPEG images are the most common format for storing images. JPEG images are very abundant on the Internet bulletin boards and public Internet sites. So it attracted the attention of researchers as the main steganographic format. There are many new and powerful steganography and steganalysis techniques in JPEG images reported in the literature, in the last few years. In this paper, ...

JPEG 2000, a new international standard for still image compression, is discussed at length. A high-level introduction to the JPEG-2000 standard is given, followed by a detailed technical description of the JPEG2000 Part-1 codec. Keywords—JPEG 2000, still image compression/coding, standards.

This paper presents an efficient image compression approach based on JPEG image compression. JPEG is the most frequently applied image compression technique in today‟s world. We have developed an application based on VB.NET for converting and compressing images in JPEG format. Using this application we finally propose a relation between image quality with the amount of image compression.

Image compression is the application of Data compression on digital images. In DCT-based compression standards such as conventional JPEG algorithm, an image is divided into eight-by-eight blocks and then the 2-D Discrete cosine transform (DCT) is applied to encode each block. Another DCT based algorithm called as Modified JPEG compression algorithm [1], overcomes the limitations of conventional...

Sometimes image processing units inherit images in raster bitmap format only, so that processing is to be carried without knowledge of past operations that may compromise image quality (e.g., compression). To carry further processing, it is useful to not only know whether the image has been previously JPEG compressed, but to learn what quantization table was used. This is the case, for example,...

—A novel linear transform, called All Phase Biorthogonal Transform (APBT), was generated from All Phase Digital Filter (APDF) theory. APBT can be used in image compression instead of the conventional Discrete Cosine Transform (DCT), and the corresponding image compression scheme is called APBT-based JPEG (APBT-JPEG) which can achieve better coding performance, especially at low bit rates. With...

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 applicatio...