Abstract

Color correction or color balancing in multi-view image stitching is the process of correcting the color
differences between neighboring views which arise due to different exposure levels and view angles. This paper
concerns the problem of color balance for panoramic images. A new algorithm is presented to create visual
normalization by using correlated feature points between adjacent image sequences. After image mosaicking
directly, a weighted average method is used to calculate the pixel value of panoramic image Experimental result
shows that the algorithm can achieve images color balance and good visual performance.

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