The image compression is the technique which is applied to reduce size of the original image. The image compression can be classified into lossy and loss-less type of compressions. The WDR is the lossy type of compression in which unwanted pixels will be removed from the image. In this work, improvement in the WDR algorithm is been proposed using the algorithm of decision tree. The decision tre...

Many state-of-the-art wavelet image coders use nonorthog-onal transforms for both lossy and lossless wavelet image coding 1, 2, 3, 4]. In this paper, a projection prediction is described that capitalizes on the non-orthogonality of wavelet transform basis vectors to improve the prediction of high-frequency coeecients. For lossy wavelet coders, the prediction yields improved context modeling and...

Lossy compression techniques have been applied to image and text compression, yielding compression factors that are vastly superior to lossless compression schemes. In this paper, we present a preliminary study on a set of lossy transformations for XML documents that preserve the semantics. Inspired by previous techniques, e.g. lossy text compression and literate programming, we apply a simple ...

Data compression algorithms can be categorized into lossless and lossy. Bit streams generated by lossless compression algorithm can be faithfully recovered to the original data. If loss of one single bit may cause serious and unpredictable consequences in original data (for example, text and medical image compression) lossless compression algorithm should be applied. If data consumers can toler...

This paper is a revised version of the paper with the same title in the proceedings of ICIP97 (which contains a serious error in g. 1 and in table 1). Abstract This paper presents a lossless block-transform coder based on the Hadamard transform that achieves a compression ratio as good as that of the current lossless JPEG-standard and about 10 to 20% lower than the currently best state-of-the-a...

The submitted paper deals with the application of lossy compression to two-dimensional curves scanned grey-scale images. A new algorithm based on correlation optimization used for Space Filling Curve (SFC) determination is presented. The resulting 1-dimensional image representation provides a higher neighbour pixel similarity, similar to other methods [6]. One of such methods is the Peano-Hilbe...

A number of reversible integer-to-integer wavelet transforms are compared on the basis of their lossy compression performance, lossless compression performance, and computational complexity. Of the transforms considered, several were found to perform particularly well, with the best choice for a given application depending on the relative importance of lossless compression performance, lossy co...

In this paper an empirical evaluation of the lossy compression properties of the JPEG2000 standard for watermarking and fingerprinting purposes is performed. The JPEG2000 standard is used as a basic tool for determining both how and where the embedded watermark should be placed in the image. The original image is slightly modified in order to generate a similar image (but indistinguishable by t...

With the growing interest in copyright protection of multimedia, digital watermarking has been presented and widely researched. The digital image watermarking techniques are usually performed in spatial or transform domain. Most of transformdomain watermarking methods are based on Discrete Cosine Transforms (DCT) and robust to JPEG lossy compression. Recently, digital image watermarking based o...

Image compression has developed as full fledged field from past many years because of rapidly growing entertainment market and unparalleled increase in the use of internet services for storage transmission and processing of multimedia data. Data compression techniques are primarily divided into two categories, lossless and lossy. The lossy technique is most widely accepted because it allows hig...