发明名称 Wavelet-based Image Decolorization and Enhancement
摘要 The present invention relates to image processing. More particularly, the present invention provides methods for efficient image decolorization and color image enhancement. The methods of the present invention comprise decolorization in frequency domain, adaptive brightness control for an enhanced grayscale image and color image enhancement. The present invention is able to improve sharpness and fine details in both enhanced grayscale and color images.
申请公布号 US2016379340(A1) 申请公布日期 2016.12.29
申请号 US201514746852 申请日期 2015.06.23
申请人 Hong Kong Applied Science and Technology Research Institute Company Limited 发明人 LAI Cheung Ming
分类号 G06T5/00;G06T7/40;G06K9/52;G06K9/46 主分类号 G06T5/00
代理机构 代理人
主权项 1. A method for image decolorization, comprising: splitting an input color image having a plurality of pixels into a red image, a green image and a blue image; performing wavelet transform for the red image, the green image and the blue image to obtain a red wavelet coefficient, a green wavelet coefficient, and a blue wavelet coefficient respectively for each pixel, wherein each of the red wavelet coefficients, the green wavelet coefficients and the blue wavelet coefficients comprises a magnitude and a sign; for each pixel, categorizing the magnitudes of the red wavelet coefficient, the green wavelet coefficient, and the blue wavelet coefficient into a first magnitude ML, a second magnitude MM, and a third magnitude MS, wherein the first magnitude is larger than or equal to the second magnitude, and the second magnitude is larger than or equal to the third magnitude; for each pixel, selecting a sign of a wavelet coefficient having the first magnitude to be a sign of an enhanced wavelet coefficient; for each pixel, calculating a magnitude of the enhanced wavelet coefficient ME by the below equation: ME=ML+(a*MM−b*MS) where a denotes a first adjusting parameter, and b denotes a second adjusting parameter; for each pixel, determining the enhanced wavelet coefficient based on the calculated magnitude of the enhanced wavelet coefficient and the selected sign of the enhanced wavelet coefficient; and applying an inverse wavelet transform to the determined enhanced wavelet coefficients to obtain an enhanced grayscale image.
地址 Hong Kong HK