Chromatic aberration reduction through optical feature modeling

Jooyoung Kang; Hyunwook Ok; JaemGuyn Lim; Seong-Deok Lee

doi:10.1117/12.805763

19 January 2009 Chromatic aberration reduction through optical feature modeling

Jooyoung Kang, Hyunwook Ok, JaemGuyn Lim, Seong-Deok Lee

Proceedings Volume 7250, Digital Photography V; 72500U (2009) https://doi.org/10.1117/12.805763
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

This paper presents a method of digitally removing or correcting Chromatic Aberration (CA) of lens, which generally occurs in an edge region of image. Based on the information of the lens's and sensor's features in camera, it determines CA level and the dominant chrominance of CA and efficiently removes extreme CA such as purple fringe and blooming artifacts, as well as a general CA to be generated at an edge in an image captured by a camera. Firstly, this method includes a CA region sensing part analyzing a luminance signal of an input image and sensing a region having CA. Secondly, the CA level sensing part calculates the weight, which indicates a degree of CA, based on a difference between gradients of color components of the input image. Thirdly, for removing the extreme CA such as purple fringe and blooming artifact which caused by the feature of lens and sensor, it uses 1-D Gaussian filters having different sigma values to get the weight. The sigma value indicates the feature of lens and sensor. And, for removing the general CA, it includes the adaptive filter, based on luminance signal. Finally, by using these weights, final filter will be produced adaptively with the level of CA and lens's and sensor's features. Experimental results show the effectiveness of this proposed method.

Citation Download Citation

Jooyoung Kang, Hyunwook Ok, JaemGuyn Lim, and Seong-Deok Lee "Chromatic aberration reduction through optical feature modeling", Proc. SPIE 7250, Digital Photography V, 72500U (19 January 2009); https://doi.org/10.1117/12.805763

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