Title :
Strategies for quadtree predictive image coding
Author :
Holt, Kevin M. ; Neuhof, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
A new image coder is presented in which an image is divided into blocks, each block is quadtree segmented, and each segment is coded using a form of predictive coding. We provide nearly-optimal segmentation and quantization rules for this framework, as well as an iterative codebook design algorithm. In simulations, our new system comes within 1 dB of JPEG 2000 and outperforms JPEG by about 1.5 dB at moderate rates and up to 4.5 dB at low rates. Additionally, our method captures edges better and has potentially lower complexity than transform-based methods.
Keywords :
image coding; image segmentation; quadtrees; tree codes; JPEG 2000; Joint Photographic Experts Group; edge capturing; iterative codebook design algorithm; nearly-optimal segmentation; quadtree predictive image coding; quadtree segmentation; quantization rule; Algorithm design and analysis; Decoding; Discrete cosine transforms; Image coding; Image reconstruction; Image segmentation; Iterative algorithms; Predictive coding; Quantization; Wavelet transforms;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246663