We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
A method for lossless compression of large binary images is proposed for applications where spatial access to the image is needed. The method utilizes the advantages of (1) variabl...
Abstract. This paper presents a novel dynamically reconfigurable hardware architecture for lossless compression and its optimization for space imagery. The proposed system makes us...
Compression with Reversible Embedded Wavelets (CREW) is a uni ed lossless and lossy continuous-tone still image compression system. It is wavelet-based using a \reversible" a...
A. Zandi, James D. Allen, Edward L. Schwartz, Mart...
This paper presents a VLSI Architecture to implement the forward and inverse 2-D Discrete Wavelet Transform (FDWT/IDWT), to compress medical images for storage and retrieval. Loss...
Abstract. It is well-known that the lossless compression of color-indexed images can be improved if a suitable reordering of the palette is performed before encoding the images. In...
This paper describes a lossless compression method for medical images that produces an embedded bit-stream, allowing progressive lossy-to-lossless decoding with L-infinity orient...
This paper presents a novel block-based segmentation and adaptive coding(BSAC) algorithm for visually lossless compression of scanned documents that contain not only photographic ...