Lossless image compression techniques are used in digital imaging where large amount of data is to be stored without compromising the image quality. The volume of data that can be compressed using lossless image compression schemes is usually much lesser than that of its lossy compression counterparts. Yet, however, lossless compression algorithms are popular in a number of particular image dat...

Image compression is the key technology in the development of various multimedia and communication applications. JPEG, JPEG2000, MPEG, H.26x are the different existing standards in still and moving Image Compression. Apart from these existing standards, to deal with the compression requirements of different applications such as camera, printer, scanner etc., a number of patents have been filed ...

Image Compression is a method, which reduces the size of the data to reduce the amount of space required to store the data. The Discrete cosine transform (DCT) is a method for transforms a signal or image from spatial domain to frequency component. It is a widely used technique in image compression. In this paper, we present a lossless discrete cosine transform (DCT) compression technique for t...

Image set compression refers to compression of image sets like photo album, medical image sets, and satellite image sets. The use of digital images has increased drastically in the last decade. Hence, the field of image set compression has become far more important. Several methods for compressing image sets have been proposed in the literature. These range from simple approaches which only use...

Medical imaging uses the advantage of digital technology in imaging and teleradiology. In teleradiology systems large amount of data is acquired, stored and transmitted. A major technology that may help to solve the problems associated with the massive data storage and data transfer capacity is data compression and decompression. There are many methods of image compression available. They are c...

Image compression is to minimize the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The compound image compression normally based on three classification methods that is object based, layer based and block based. This paper presents two techniques under block-based classification. After a brief introduction of the classification methods, tw...

We undertake a study of the performance difference of different transform coding techniques i.e. Block truncating coding, wavelet and fractal image compression. This paper focuses important features of transform coding in compression of still images, including the extent to which the quality of image is degraded by the process of compression and decompression. The above techniques have been suc...

This article aims to present the various applications of data compression in image processing. Since some time ago, several research groups have been developing methods based on different data compression techniques to classify, segment, filter and detect digital images fakery. It is necessary to analyze the relationship between different methods and put them into a framework to better understa...

Although high dynamic range (HDR) image and video are becoming common in many computer graphics applications, their data compression has received little attention so far. In this paper, we propose a practical approach to HDR video compression for efficient storage and fast transmission. Most current HDR images and videos are created from multiple exposures of the scene with varying exposures or...

Fractal image compression can be obtained by dividing the original grey level image into unoverlapped blocks depending on a threshold value and the well known techniques of Quadtree decomposition. By using threshold value of 0.2 and Huffman coding for encoding and decoding of the image these techniques have been applied for the compression of satellite imageries. The compression ratio (CR) and ...