Literature DB >> 21632304

Image magnification using interval information.

Aranzazu Jurio1, Miguel Pagola, Radko Mesiar, Gleb Beliakov, Humberto Bustince.   

Abstract

In this paper, a simple and effective image-magnification algorithm based on intervals is proposed. A low-resolution image is magnified to form a high-resolution image using a block-expanding method. Our proposed method associates each pixel with an interval obtained by a weighted aggregation of the pixels in its neighborhood. From the interval and with a linear K(α) operator, we obtain the magnified image. Experimental results show that our algorithm provides a magnified image with better quality (peak signal-to-noise ratio) than several existing methods.

Year:  2011        PMID: 21632304     DOI: 10.1109/TIP.2011.2158227

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Sparse representations-based super-resolution of key-frames extracted from frames-sequences generated by a visual sensor network.

Authors:  Muhammad Sajjad; Irfan Mehmood; Sung Wook Baik
Journal:  Sensors (Basel)       Date:  2014-02-21       Impact factor: 3.576

  1 in total

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