Author:
Haris Muhammad, ,Sawase Kazuhito,Widyanto Muhammad Rahmat,Nobuhara Hajime,
Abstract
An efficient super resolution algorithm based on edge direction is proposed based on the dimensional reduction of color images and 3 types of edge direction. The basic idea is to reduce image – especially color image – dimensions and to interpolate pixels by using 3 simple edge directions – vertical, horizontal, and diagonal. The proposed algorithm conceivably eliminate more color artifacts than Bicubic. The results of experiments using 30 natural images confirm that PSNR of the proposed method achieve the same quality as Fast Curvature Based Interpolation (FCBI). We confirmed that computation time for the proposed method was 40% shorter for RGB and 20% shorter for grayscale images than the previous fastest method, i.e., FCBI. We show efficient panorama image generation based on the proposed super resolution method as one application of our proposal.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference19 articles.
1. W. Freeman, T. Jones, and E. Pasztor, “Example-based superresolution,” Computer Graphics and Applications, IEEE, Vol.22, No.2, pp. 56-65, Mar./Apr. 2002.
2. J. Qiao, J. Liu, and C. Zhao, “A Novel SVM-Based Blind Super-Resolution Algorithm,” In Int. Joint Conf. on Neural Networks 2006 (IJCNN ’06), pp. 2523-2528, 2006.
3. N. Asuni and A. Giachetti, “Accuracy Improvements and Artifacts Removal in Edge Based Image Interpolation,” VISAPP’08, No.1, pp. 58-65, 2008.
4. R. Hardie, “A Fast Image Super-Resolution Algorithm Using an Adaptive Wiener Filter,” IEEE Trans. on Image Processing, Vol.16, pp. 2953-2964, 2007.
5. G. Freedman and R. Fattal, “Image and Video Upscaling from Local Self-Examples,” ACM Trans. Graph., Vol.28, No.3, pp. 1-10, 2010.
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