A low bit rate video coding technique that uses spatio-temporal geometric transforms is presented. Motion compensation based on the bilinear transform is employed to reduce the temporal redundancy of the video. The spatial redundancy of the motion compensated error images is reduced by a combination of Fractal and DCT. It is shown that in the objects boundaries of the motion compensated error i...

A new approach of relative fractal coding has been presented in this paper. In this technique given the fractal code of a reference image, one can generate a relative fractal code of any other image of same size. The convergence of the relative code is also guaranteed. This method found to be useful for satellite remote sensing image compression as the spectral bands are correlated. It produces...

Image compression is an essential technology in multimedia and digital communication fields. Fractal image compression is a potential image compression scheme due to its potential high compression ratio, fast decompression and multi resolution properties. Fractal image compression utilizes the existence of self symmetry of images. Since Bransley gave the concept of fractal image compression in ...

A low bit rate video coding technique that uses spatio-temporal geometric transforms is presented. Motion compensation based on the bilinear transform is employed to reduce the temporal redundancy of the video. The spatial redundancy of the motion compensated error images is reduced by a combination of Fractal and DCT. It is shown that in the objects boundaries of the motion compensated error i...

In content-based image retrieval system, describing and extracting image’s feature is a key question. An image can be characterized by its fractal codes, and fractal codes can be used as the image’s feature to retrieve the images effectively. This paper proposes a novel image retrieval method using information entropy and fractal coding. First, each image in the database is classified by comput...