Scene re-lighting method based on image

Abstract

The present invention belongs to the field of computer application, and is screne re-lighting method based on image. The present invention includes the first YIQ format conversion of primary data and all-optical function value initializing; spherical wavelet conversion for the in-situ conversion of sampled image; bit distribution of converted image; data compression of spherical wavelet converted image; and final generation of ultimate scene image based on scene re-lighting method for compressed file. In the method, scene data are compressed in smooth or non-smooth lighting condition to obtain very high compression / reconstruction performance ratio. The method can compress all-optical function data with adjustable lighting fast and effectively, create scene image under any lighting condition fast and thus regulate lighting condition in IBMR technology.

Description

technical field [0001] The invention relates to an image-based re-illumination method, in particular to a fast and effective image-based scene re-illumination method, which belongs to the field of computer application. Background technique [0002] Image-based relighting technology (IBL) is proposed to solve the problem of light control in image-based modeling and scene generation technology (IBMR) in computer graphics. Its main idea is: given a certain direction parallel Lighting conditions, the corresponding scene image can be obtained by interpolating the pre-sampled reference image. This technique is a good solution to the light control in IBMR, but it also brings new technical challenges. Since the quality of scene generation depends directly on the number of pre-sampled images, the amount of original data required by IBL technology is very large. In order to ensure that the generated images do not overlap, the total number of samples along the longitude and latitude ...

AI Technical Summary

Problems solved by technology

According to literature search, there is only one compression method based on spherical harmonics and it is proposed by Huang Tianjin, the proposer of IBL (image-based re-illumination technology), T.T.Wong, C.W.Fu, P.A.Heng and C.S.Leung.The Plenoptic IlluminationFunction .(Illumination plenoptic function) IEEE Trans.on Multimedia, 4(3), pp.361-371, 2002, this paper mainly uses the spherical harmonic method to compress the massive data in the IBL, the biggest problem of this scheme is that it cannot handle bulk data

Because spherical harmonics are a global basis, extracting them requires processing all data at the same time, which is often impossible in practical applications. At the same time, this method cannot reflect the local changes and multi-scale characteristics of the data.

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