This paper proposes an interband version of CALIC (context-based, adaptive, lossless image codec) which represents one of the best performing, practical and general purpose lossless image coding techniques known today. Interband coding techniques are needed for effective compression of multispectral images like color images and remotely sensed images. It is demonstrated that CALIC's techniques ...

Context-based Adaptive Lossless Image Codec (CALIC) is one of the most efficient lossless encoding techniques for continuous-tone images. However, its performance is considerably downgraded on images with fewer and widely separated grey levels. As a result of this, CALIC may provide lower compression rates in binary images. In this paper we provide an improved version of CALIC that gives better...

When initially reported [1], BTPC was compared with JPEG, GIF and research coders of that time, SPIHT and CALIC. It outperformed JPEG and GIF (except for limited-palette colour graphics) but was inferior to SPIHT and CALIC in their respective areas of strength. Tested with an assortment of images of different modalities, BTPC was the most consistent overall performer, other coders faring poorly...

In this paper, a comparative study of lossless compression algorithms is presented. The following algorithms are considered: UNIX compress, gzip, LZW, CCITT Group 3 and Group 4, JBIG, old lossless JPEG, JPEG-LS based on LOCO, CALIC, FELICS, S+P Transform, and PNG. In cases where the algorithm under consideration may only be applied to binary data, the bitplanes of the gray scale image are separ...

A novel dual level differential pulse code modulation (DL-DPCM) is proposed for lossless compression of medical images. The DL-DPCM consists of a linear DPCM followed by a nonlinear DPCM namely, context adaptive switching neural network predictor (CAS-NNP). The CAS-NNP adaptively switches between three NN predictors based on the context texture of the predicted pixel in the image. Experiments o...

In this work, lossless grayscale image compression methods are compared on a medical image database. The database contains 10 different types of images with bit rates varying from 8 to 16 bits per pixel. The total number of test images was about 3000, originating from 125 different patient studies. Methods used for compressing the images include seven methods designed for grayscale images and 1...

In this work, lossless grayscale image compression methods are compared on a public palmprint image database. The total number of test images was about 7752, with 8 bit rates. The performance using different lossless compression algorithms on the compression ratios when processing palmprint sample data is investigated, in particular, we relate the application of CALIC, JPEGLS,RAR, JPEG2000 (los...

Proprietary compression schemes have a cost and risk associated with their support, end of life and interoperability. Standards reduce this cost and risk. The new JPEG-LS process (ISO/IEC 14495-1), and the lossless mode of the proposed JPEG 2000 scheme (ISO/IEC CD15444-1), new standard schemes that may be incorporated into DICOM, are evaluated here. Three thousand, six hundred and seventy-nine ...

Lossless image compression has many applications, for example, in medical imaging, space photograph and film industry. In this thesis, we propose an efficient lossless image compression scheme for both binary images and gray-scale images. The scheme first decomposes images into a set of progressively refined binary sequences and then uses the context-based, adaptive arithmetic coding algorithm ...