光学学报, 2016, 36 (12): 1233001, 网络出版: 2016-12-14   

基于物体颜色信息的图像紫边矫正方法 下载: 847次

Purple Fringing Correction Method Based on Color Information of Object
作者单位
浙江大学现代光学仪器国家重点实验室, 浙江 杭州 310027
摘要
提出了一种基于颜色信息的大区域紫边矫正方法。在研究紫边成因的基础上, 结合色差理论对传统紫边检测方法进行了改进; 在矫正紫边时, 提出了利用物体颜色信息的分类矫正方法以及规避错误矫正的措施, 并对残留紫边进行了矫正, 从而在有效地矫正紫边的同时, 减少了矫正误差。实验结果表明, 相比已有方法, 该方法对图像中各种场景下的大区域紫边均有更好的矫正效果, 矫正后的图像在主观视觉和客观数据指标上均有明显提升。
Abstract
A purple fringing correction method for large-area purple fringing is proposed based on color information. Considering the causes of purple fringing, the existing method for purple fringing detection is improved by making use of the chromatic aberration theory. When correcting the purple fringing, the proposed classification correction method and the method of avoiding error correction measures are proposed based on object color information, while a method for remaining purple fringing removal is corrected, so as to correct the purple fringing and reduce the error correction at the same time. Experimental results indicate that the proposed method can obtain better correction effect than the existing methods for large-area purple fringing in various scenarios of images. The corrected images are improved significantly in the subjective visual and objective data in the evaluating indicator.

张林, 冯华君, 徐之海, 李奇, 陈跃庭. 基于物体颜色信息的图像紫边矫正方法[J]. 光学学报, 2016, 36(12): 1233001. Zhang Lin, Feng Huajun, Xu Zhihai, Li Qi, Chen Yueting. Purple Fringing Correction Method Based on Color Information of Object[J]. Acta Optica Sinica, 2016, 36(12): 1233001.

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