Texture Analysis and Synthesis using Angular Wavelet Frames
R. Venkateswara Rao, Sumana Gupta · 2006
The paper describes a new method for texture analysis and synthesis using angular wavelet frames (AWF). The objective of using AWF is to improve the performance of existing wavelet based classification algorithms for textured images having dominant angular components, as well as the synthesis algorithms for textures with long range and non linear spatial correlation. The 2D AWF is constructed by frequency transformations of the prototype 1D perfect reconstruction filter bank (PRFB). Encouraging results have been obtained by this method.