Directional Interpolation Based on Improved Adaptive Residual Interpolation for Image Demosaicking
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참고문헌
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초록
As an important part of image processing, image demosaicking has been widely researched. It is especiallynecessary to propose an efficient interpolation algorithm with good visual quality and performance. To improvethe limitations of residual interpolation (RI), based on RI algorithm, minimalized-Laplacian RI (MLRI), anditerative RI (IRI), this paper focuses on adaptive RI (ARI) and proposes an improved ARI (IARI) algorithmwhich obtains more distinct R, G, and B colors in the images. The proposed scheme fully considers thebrightness 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 theimproved method has better performance than other four existing methods both in subjective assessment andobjective assessment, especially in the complex edge area and color brightness recovery.
Abstract
As an important part of image processing, image demosaicking has been widely researched. It is especiallynecessary to propose an efficient interpolation algorithm with good visual quality and performance. To improvethe limitations of residual interpolation (RI), based on RI algorithm, minimalized-Laplacian RI (MLRI), anditerative RI (IRI), this paper focuses on adaptive RI (ARI) and proposes an improved ARI (IARI) algorithmwhich obtains more distinct R, G, and B colors in the images. The proposed scheme fully considers thebrightness 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 theimproved method has better performance than other four existing methods both in subjective assessment andobjective assessment, especially in the complex edge area and color brightness recovery.
참고문헌 (18)
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