Title :
Region of interest coding for image compression
Author :
Long, Men ; Tai, Heng-Ming
Author_Institution :
Dept. of Electr. Eng., Tulsa Univ., OK, USA
Abstract :
This paper presents a new method for region of interest (ROI) coding based on the embedded block coding with optimized truncation (EBCOT) paradigm. The proposed method reduces the priority of the less important region or background of an image, allowing the user to quickly view the ROI with higher quality without receiving the entire image. Thus, it substantially saves the transmission time, storage space, and computational cost of image compression. The unique characteristics of the new method lie in the combination of good ROI compression performance and low algorithm complexity. Experimental results indicate that the proposed method significantly outperforms the previous ROI coding schemes in overall ROI coding performance.
Keywords :
computational complexity; data compression; image coding; ROI compression performance; background priority adjustment; embedded block coding; image compression; optimized truncation paradigm; region of interest coding; Block codes; Computational efficiency; Decoding; Educational technology; Image coding; Image reconstruction; Image storage; Laboratories; Optimization methods; Voltage;
Conference_Titel :
Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on
Print_ISBN :
0-7803-7523-8
DOI :
10.1109/MWSCAS.2002.1186825