Chenbo Liu, Journal of Information Processing Systems Vol. 16, No. 6, pp. 1479-1494, Dec. 2020  

https://doi.org/10.3745/JIPS.02.0148
Keywords: Adaptive Residual Interpolation (ARI), Directional Difference, Image Demosaicking, Iterative Residual Interpolation (IRI), Minimized-Laplacian Residual Interpolation (MLRI), Residual Interpolation (RI)
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Abstract

As an important part of image processing, image demosaicking has been widely researched. It is especially necessary to propose an efficient interpolation algorithm with good visual quality and performance. To improve the limitations of residual interpolation (RI), based on RI algorithm, minimalized-Laplacian RI (MLRI), and iterative RI (IRI), this paper focuses on adaptive RI (ARI) and proposes an improved ARI (IARI) algorithm which obtains more distinct R, G, and B colors in the images. The proposed scheme fully considers the brightness information and edge information of the image. Since the ARI algorithm is not completely adaptive, IARI algorithm executes ARI algorithm twice on R and B components according to the directional difference, which surely achieves an adaptive algorithm for all color components. Experimental results show that the improved method has better performance than other four existing methods both in subjective assessment and objective assessment, especially in the complex edge area and color brightness recovery.

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