Adaptive Gabor image transformation: application in scientific visualization

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

This paper addresses the issues of compression and computation efficiency of transform-based image compression methods. Most transform-based compression systems operate based on the assumption that the input images are mostly conventional types of images. We argue that these systems will not perform efficiently in some image domains in which the aforementioned assumption does not hold. We believe an image encoding system must take into consideration the directional and frequency attributes in the input images in order to achieve high encoding quality. In this paper, we present a novel adaptive approach for image transformation. Experimental results show that for an 'unconventional' image, the proposed system produces better image quality than JPEG at the same bit-rates.

Original languageEnglish (US)
Pages504-507
Number of pages4
StatePublished - Dec 1 1995
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: Oct 23 1995Oct 26 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period10/23/9510/26/95

    Fingerprint

Cite this

Lau, P., & Papanikolopoulos, N. P. (1995). Adaptive Gabor image transformation: application in scientific visualization. 504-507. Paper presented at Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3), Washington, DC, USA, .