Image capture and fusion of 3d surface texture using wavelet transform

摘要: Image fusion is a process, in which the multiple images of scene are combined into single fused image order to preserve full content and also retain important features from each original respectively. In this paper, we propose novel wavelet transform based approach achieve capture 3D surface texture. There two components real-world textures - rough geometry properties its reflectance properties. different 2D as their appearing can vary dramatically with illumination conditions. A scheme employed paper. Every saliency decomposition coefficient measured input image. The value visually reflects meaningful contents coefficients, it's consistent human visual perception too. This aims values information respect visualization perception. addition, texture composes both albedo (e.g. color) height or gradient map), therefore new under arbitrary illuminant direction be generated. Experimental results show that proposed not only captures fusions directions, but has ability structures perceptual