Title :
Multiresolution image compression with BSP trees and multilevel BTC
Author :
Rabiee, Hamid R. ; Kashyap, R.L. ; Radha, H.
Author_Institution :
Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
This paper presents a new multiresolution segmentation-based algorithm for image compression. High quality low bit rate image compression is achieved by recursively coding the binary space partitioning (BSP) tree representation of images with multilevel block truncation coding (BTC). Comparison with JPEG at rates below 0.25 bit/pixel shows superior performance both in terms of power signal-to-noise ratio (PSNR) and subjective image quality
Keywords :
block codes; data compression; image coding; image representation; image resolution; image segmentation; tree data structures; BSP trees; binary space partitioning tree representation; hgh quality low bit rate image compression; multilevel BTC; multilevel block truncation coding; multiresolution segmentation-based algorithm; performance; power signal-to-noise ratio; recursive coding; segmentation-based algorithm; subjective image quality; Bit rate; Image coding; Image resolution; Image segmentation; PSNR; Partitioning algorithms; Pixel; Signal resolution; Signal to noise ratio; Transform coding;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537706
