A Low Complexity Switched Method for Enhancement of Spatial Resolution of Images

Abstract:

This paper presents a novel approach of image interpolation based on the switching of new edge directed interpolation (NEDI) and single pass interpolation algorithm ( SPIA ) and switching is based upon the % of edges present in the blocks of the image. The switching of this interpolation algorithm is block based instead of image based or pixel based. Imperially we found that NEDI methods is better applicable for smoother images (variation among the pixels is less) while SPIA method works better on detailed images (more variation among the pixels), because of the type of pixels used in the process interpolation. So, a hybrid scheme of combining NEDI method and SPIA method is used for better prediction of HR image. The proposed algorithm produces the better results for different varieties of images in terms of both PSNR measurement and subjective visual quality with low computational complexity as compare to recently developed interpolation algorithms.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 6534-6539
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.6534
• Online since: January 2012
• Authors: Hari Singh Choudhary, Vineet Khanna, Prakrati Trivedi
• Keywords: Autoregressive Modeling, Detailed Image, Image Interpolation, NEDI, SPIA, Switching Algorithm, Variance

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