205 ウェーブレット変換法と微積分方程式によるカラー画像の圧縮および再現性について

抄録

Field theory is applied to the computer graphics. The key idea is that image data is regarded as a field potential or source density. After the governing equation of computer graphics is derived, the finite differences, finite elements and Green's function methods are applied to solve the governing equations. This approach makes it possible to compress the graphics image data without losing most of the original information. Moreover, wavelet transform is available to generate the compressed image data including rich original graphics information. We demonstrate that the computer graphics images can be compressed by wavelets as well as image calculus. Further, we try to carry out the twice/double image compression by combining both of the wavelets and image calculus methods.