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Deep Photo Cropper and Enhancer

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Document pages: 5 pages

Abstract: This paper introduces a new type of image enhancement problem. Compared totraditional image enhancement methods, which mostly deal with pixel-wisemodifications of a given photo, our proposed task is to crop an image which isembedded within a photo and enhance the quality of the cropped image. We splitour proposed approach into two deep networks: deep photo cropper and deep imageenhancer. In the photo cropper network, we employ a spatial transformer toextract the embedded image. In the photo enhancer, we employ super-resolutionto increase the number of pixels in the embedded image and reduce the effect ofstretching and distortion of pixels. We use cosine distance loss between imagefeatures and ground truth for the cropper and the mean square loss for theenhancer. Furthermore, we propose a new dataset to train and test the proposedmethod. Finally, we analyze the proposed method with respect to qualitative andquantitative evaluations.

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