Images Exposure Fusion of Images with Small Disparity

• Main Authors: Yi-Long Zhang, 張藝龍
• Other Authors: Ching-Wei Yeh
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/73218439885321150664

碩士 === 國立中正大學 === 電機工程研究所 === 103 === In the image exposure fusion process, if the source image displacement or shoot different angles have parallax effect will lead to the source image to generate an image inconsistent disparity, fusion results will have problems. Therefore, we simulated the source image has parallax, the disparity between the upper and lower have 20 ~ 30 pixels of range and we refer to these source images do fusion and solve problems in fusion results occur. The conventional exposure fusion suffers the artifact or ghost effects when there are source images misalignment or hand trembling, because the output image quality is only focus on input image information. In the conventional fusion method is let all image pixels directly to do fusion will produce artifact or ghost effect. Therefore, for this question we propose to only for the region of interest (ROI) to do fusion, and our also propose to do a small-scale linear matching in order to align the source images. Final we also to use the discrete wavelet transform to enhance the quality of fusion. Finally, after experimental tests, our results compared with the traditional fusion result, in occur artifacts or ghost effect places our results can be excluded, while other parts retain the same visual quality of with the traditional results, therefore, we proposed method can be used in the image fusion with small image disparity.