Title :
Image compression with a hybrid wavelet-fractal coder
Author :
Li, Jin ; Kuo, C. C Jay
Author_Institution :
Sharp Labs. of America, Camas, WA, USA
fDate :
6/1/1999 12:00:00 AM
Abstract :
A hybrid wavelet-fractal coder (WFC) for image compression is proposed. The WFC uses the fractal contractive mapping to predict the wavelet coefficients of the higher resolution from those of the lower resolution and then encode the prediction residue with a bitplane wavelet coder. The fractal prediction is adaptively applied only to regions where the rate saving offered by fractal prediction justifies its overhead. A rate-distortion criterion is derived to evaluate the fractal rate saving and used to select the optimal fractal parameter set for WFC. The superior performance of the WFC is demonstrated with extensive experimental results
Keywords :
data compression; fractals; image coding; image resolution; rate distortion theory; transform coding; wavelet transforms; bitplane wavelet coder; experimental results; fractal contractive mapping; fractal prediction; fractal rate saving; hybrid wavelet-fractal coder; image compression; image resolution; optimal fractal parameter set; overhead; performance; prediction residue; rate-distortion criterion; wavelet coefficients prediction; Bit rate; Boring; Fractals; Image coding; Image quality; Quantization; Rate-distortion; Spatial resolution; Wavelet coefficients; Wavelet domain;
Journal_Title :
Image Processing, IEEE Transactions on