DocumentCode :
432496
Title :
Efficient image coding for access to pixel ranges
Author :
Yea, Sehoon ; Said, Amir ; Pearlman, William A.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
1
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
425
Abstract :
Technical imaging applications such as coding "images" of digital elevation maps, require extracting regions of compressed images with the pixel values within a pre-defined range, without having to decompress the whole image. Previously, we introduced a class of nonlinear transforms which are small modifications of linear transforms to facilitate a search for the regions with pixel values below (above) a given \´threshold\´, without incurring any penalty in coding efficiency. However, coding efficiency had to be somewhat compromised when searching for regions with a given pixel \´range\´, especially at high coding rates. In this paper, we propose an improved method of pixel \´range\´ coding to deal with the aforementioned problem. Results show significant improvements in coding efficiency.
Keywords :
Haar transforms; discrete cosine transforms; image coding; DCT; Haar wavelet; coding efficiency; compressed image region extraction; digital elevation maps; high coding rates; image coding; nonlinear transforms; order-statistics preserving linear transforms; pixel range access; pixel value threshold; predefined pixel value range; technical imaging; Application software; Discrete cosine transforms; Discrete transforms; Ear; Image coding; Lakes; Magnetic resonance imaging; Pixel; Systems engineering and theory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1418781
Filename :
1418781
Link To Document :
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