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Fast large-scale image enlargement method with a novel evaluation approach: benchmark function-based peak signal-to-noise ratio

1 1 1 1 1 Rating 4.90 (78 Votes)

PROJECT TITLE :

Fast large-scale image enlargement method with a novel evaluation approach: benchmark function-based peak signal-to-noise ratio

ABSTRACT:

An objective novel analysis approach, implemented by the benchmark perform-based mostly peak signal-to-noise ratio, notably suitable for evaluating the performance of a big-scale enlargement of a little size image is proposed during this study. Also, a fast giant-scale image enlargement technique via the improved discrete cosine transform (DCT) is proposed to enhance the quality and speed of image zooming. The proposed image enlargement algorithm based on DCT saves computation time by multiplication of the DCT matrix. Compared with the traditional DCT approach, the improved approach overcomes the image shifting and blocky effects. In comparisons with other interpolation methods, DCT enlargement outperforms them in edge details because it considers the worldwide frequency information of the entire image. With the DCT enlargement, it's easy to implement the arbitrary pixel-size-based mostly zooming of a picture by employing the different size of remodel matrix. Illustrative examples show the effectiveness of the proposed approach.


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Fast large-scale image enlargement method with a novel evaluation approach: benchmark function-based peak signal-to-noise ratio - 4.9 out of 5 based on 78 votes

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