Irregularly Detailed Raster Image Coding Software Design with Respect to Adaptive and Interactive Image Analysis

A. V. Shokurov , e-mail: shokurov.anton.v@yandex.ru

A research of visual data encoding methods, designs of mathematical models of such data, software and management tools, as well as the analysis of the corresponding test results are given in the paper. The author develops an efficient, adaptive and interactive irregularly detailed raster image analysis method that is based on the propositions of the traditional SPIHT algorithm and gives an analysis of the software implementation properties on test images. This efficient method is developed with respect to the encoded data stream sizes, the image fragments extraction speed, the amount of data relevant to the fragments being extracted and the amount of random access memory used by the software.

Keywords: irregularly detailed raster image, SPIHT-based image coding method, interactive image analysis, low-bandwidth channel, multiscale and progressive image fragment transmission modes, size adaptive image fragment retrieval mode

pp. 17–28