发明名称 IMAGE RESTORATION METHOD AND IMAGE PROCESSING APPARATUS USING THE SAME
摘要 The invention discloses an image restoration method and an imager processing apparatus using the same. The method includes the following steps: receiving a haze image comprising a plurality of pixels; detecting whether a color cast phenomenon occurs on the haze image; if yes, calculating a plurality of Laplacian distribution values respectively corresponding to the color channels; determining a maximum distribution value and a minimum distribution value among the Laplacian distribution values, and generating a self-adaptive parameter by comparing the maximum distribution value and the minimum distribution value; adjusting the transmission map by the self-adaptive parameter so as to generate a adjusted transmission map; calculating a plurality of color parameters respectively corresponding to the color channels according to the Laplacian distribution values; and restoring the haze image by using the color parameters and the adjusted transmission map so as to obtain a restored image.
申请公布号 US2016078605(A1) 申请公布日期 2016.03.17
申请号 US201414487105 申请日期 2014.09.16
申请人 National Taipei University of Technology 发明人 Huang Shih-Chia;Ye Jian-Hui;Chen Bo-Hao
分类号 G06T5/00 主分类号 G06T5/00
代理机构 代理人
主权项 1. An image restoration method, adapted to an image processing apparatus, wherein the image restoration method is based on an optical model formed by a transmission map, and the method comprises: receiving a haze image comprising a plurality of pixels, wherein each of the pixels has a plurality of color components corresponding to a plurality of color channels; detecting whether a color cast phenomenon occurs on the haze image; if yes, calculating a plurality of Laplacian distribution values respectively corresponding to the color channels; determining a maximum distribution value and a minimum distribution value among the Laplacian distribution values, and generating a self-adaptive parameter by comparing the maximum distribution value and the minimum distribution value; adjusting the transmission map by the self-adaptive parameter so as to generate an adjusted transmission map; calculating a plurality of color parameters respectively corresponding to the color channels according to the Laplacian distribution values; and restoring the haze image by using the color parameters and the adjusted transmission map so as to obtain a restored image.
地址 Taipei TW