3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
In lossless watermarking, it is possible to completely remove the embedding distortion from the watermarked image and recover an exact copy of the original unwatermarked image. Lo...
Jessica J. Fridrich, Miroslav Goljan, Qing Chen, V...
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 ...
Frequently, it is observed that the sequence of indexes generated by a vector quantizer (VQ) contains a high degree of correlation, and, therefore, can be further compressed using ...
In this paper, we propose a compression algorithm focused on the peculiarities of hyperspectral images. The spectral redundancy in hyperspectral images is exploited by using a con...