Image Segmentation

The primary purpose of an image segmentation system is to extract information from the images to allow the discrimination among different objects of interest. Image segmentation is of great interest in a variety of scientific and industrial fields, with applications in medicine, microscopy, remote sensing, control of quality, retrieval of information in graphic databases, among others. The segmentation process is usually based on gray level intensity, color, shape, or texture.… Read more

Fractal Compression

Fractal compression is one of the most promising techniques image and video compression due to advantages such as resolution independence and fast decompression. It exploits the fact that natural scenes present self-similarity to remove redundancy and obtain high compression rates with smaller quality degradation compared to traditional compression methods. The main drawback of fractal compression is its computationally intensive encoding process, due to the need for searching regions with high similarity in the image.… Read more