Luminance Adjustment in Image and Video

• Main Authors: Wen-Ju Tsai, 蔡文儒
• Other Authors: Timothy K. Shih
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/32359710891643930682

碩士 === 淡江大學 === 資訊工程學系資訊網路與通訊碩士班 === 96 === After luminance fixed in image and video, luminance in image and video can be similar. Removed luminance difference, then we can see the clearly image with accordant luminance. And we can detail adjust intensity in video or frames, then we can show the modify intensity value in our experiment. After inpaint the intensity in image or video, the image will display the new intensity. We can see the image different and better than original intensity. We maybe also adjust intensity contrast, make sure the detail color and luminance appear same coordinate color. In this issue, we try to use average intensity to solve luminance in video, permeate the frames average intensity we can calculate the middle intensity then we can get the threshold help us to fix the image intensity. And we can use histogram and tensor voting to solve luminance difference in image. We will show the experiment in this research. Then, we will compare these two methods, the result in histogram and tensor voting.