Showing papers by "Saad Ahmed Sirohey published in 2000"

Method and system for lossless wavelet decomposition, compression and decompression of data

Abstract: Image data is compressed by decomposing the image data into a plurality of resolutions or sized by wavelet decomposition, followed by compression of the resulting data sets. Adaptive Huffman code compression is optimized for compressing the data sets, predictive errors for a low frequency band and the wavelet transformed values for high frequency bands. The image data is thus compressed losslessly and in multiple resolutions such that desired resolution images can be reconstructed and transmitted in accordance with available-bandwidth and viewing capabilities.

Image-based evaluation of vascular residual strain

Abstract: We propose a method that aids in the evaluation of residual strain in blood vessels. Strain measurement is important in stress analysis of cardiovascular tissues. Since its introduction in 1983, arterial residual strain is evaluated manually which is a lengthy process. This involved photography, film development, printing of large photographs, and finally digitization of the edges of the vascular rings before and after cut using a flatbed digitizing tablet. These processes are highly labor intensive and time consuming, in the order of days. In this paper we introduce an image analysis and processing technique in which arterial residual strain can be evaluated efficiently and reliably. To insure portability, a JAVA-based application is developed which is designed for a semi-automatic operation in evaluating residual strain values. The use of the image-based evaluation technique is validated by comparison of arterial residual strain evaluated using photographs and digitizing tablet.