It is necessary for getting the enlarged digital images to predict unknown high frequency components which are lost by sampling. We have proposed the image enlarging method based on the Laplacian pyramid representation which can predict the unknown high frequency components. We call this method the LP enlarging method. Since the JPEG coded image is compression image, thus, the image is blurred. Furthermore, the JPEG coded image, especially at low bit rate, exhibit visually annoying blocking effects. Thus, the LP enlarging method isn’t able to be applied to the JPEG coded image. In this paper, we modify the LP enlarging method in order to apply the JPEG coded image. The novel method introduce Epsilon-filters into the LP enlarging method, so as to reduce the blocking effects. Moreover, we tune the parameters of the LP enlarging method and the Epsilon-filters for the JPEG coded image. We clear the effectiveness of the proposed method through a lot of experimental results.
It is necessary to predict unknown higher-frequency components which are lost by sampling for enlarging digital images. Based on Laplacian pyramid representation, the prediction of unknown higher-frequency components is equivalent to the prediction of an unknown high-resolution Laplacian image. We have proposed the higher resolution method based on the Laplacian pyramid representation. However, the overshooting and undershooting are appeared near the step-edge regions of the higher resolution result. Particularly, these overshooting and undershooting of the color digital images are standed out as shifting color components and we call this artifact the edge effect. In this paper, we propose a new color image higher resolution method with the (epsilon) -filtering, in order to reduce the edge effect. Excellent higher resolution color images without edge effect are obtained by the proposed method.
We present novel enlarging methods of digital images based on Laplacian pyramid representation. First, 'direct method,' which is based on Laplacian pyramid representation, is proposed. The direct method is simple, however derive excellent enlargement results for only relative smooth regions of the image. Thus, we present the 'hybrid method' which is integrated the direct method and the Greenspan's method which is also based on Laplacian pyramid representation and has excellent property for enraging edge/detail regions. The effectiveness of the hybrid method is shown through a lot of experimental results.
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