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 |
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代理人 |
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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 |