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Image Downscaling Method Optimized for Future Magnification  

Shin, Hyun-Joon (Ajou University)
Wee, Young-Cheul (Ajou University)
Publication Information
Journal of the Korea Computer Graphics Society / v.17, no.1, 2011 , pp. 39-44 More about this Journal
Abstract
In this paper, we introduce a novel method to reduce image to a small size, such that the quality of the image is improved when it is up-scaled. Recent hardwares including cameras and display devices allow us to capture and display high-resolution images. However, it is not always realistic to store and transmit those high-resolution images due to limitation of storage and network bandwidth. Therefore, high-resolution images are often down-scaled to be stored and transmitted, and then up-scaled back for display. To improve final image quality in this scenario, we first formulate selected up-scale methods as linear transformations. The optimal reduction methods are obtained as its inverse transformation. Based on this basic idea, we develop down-scale kernel that is optimized for each up-scale method. In our experiment, the proposed method could improve the quality of the up-scaled image noticeable.
Keywords
Image Processing;
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