Retinex algorithm for improving appearance of spatially localized images (「膨大化する画像データのための高度画像入出力技術」[画像電子]学会創立35周年記念論文特集号)

〈Summary〉 The Retinex is a human perception-based image processing algorithm which provides color constancy and dynamic range compression. A real-time processing of the Retinex is required to meet the needs of various potential users. The Retinex processing contains a relatively large number of complex computations, thus to achieve real-time performance using current technologies requires specialized hardware and software. However, there is a limit to the image size that the Retinex can output an improved image in a short time even if any machines are used. As one of the solutions by approaching from software implementation, in this paper, we propose a serial Retinex algorithm for improving appearance of spatially localized images. Our algorithm does not output a whole image by the Retinex at a time, but the algorithm calculates it consecutively and output it sequentially. So, with progress of processing time, the appearance will be gradually improved and the processing region will be gradually spread out. We verified the effectiveness of the proposed algorithm by experiments.

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