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In recent years, video portal sites represented by Youtube have become increasingly popular. The demand for such video portal sites more increases, and it will be thought that the quantity of data becomes enormous in future. There is fear that the limit of the contributed video could be set because of data server burden. The decimation of image is considered as a method of the reduction of the data of quantity. However, because a part of image data is lost through the decimation of image, the enlarged image from the decimated one becomes deteriorated. We propose a novel framework for the problem that we stated above. In our framework, this enables the restoration to a former image by embedding the reconstruction parameter to a former image in a decimated image. This enables to reduce deterioration of the image by the resolution conversion. By an experiment, we verified the efficacy of proposed method from appearance of image and error of original image and image of proposed method. Appearance is improved and error is lower.

Embedding Method of Restoration Parameter in Reduction Image for High Quality Image Enlargement