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arXiv · 1712.00855

EDIZ: An Error Diffusion Image Zooming Scheme

Soroush Saryazdi·Saman Saryazdi·Hossein Nezamabadi-pour
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Abstract

Interpolation based image zooming methods provide a high execution speed and low computational complexity. However, the quality of the zoomed images is unsatisfactory in many cases. The main challenge of super- resolution methods is to create new details to the image. This paper proposes a new algorithm to create new details using a zoom-out-zoom-in strategy. This strategy permits reducing blurring effects by adding the estimated error to the final image. Experimental results for natural images confirm the algorithm's ability to create visually pleasing results.

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Soroush Saryazdi, Saman Saryazdi, Hossein Nezamabadi-pour. 2017-12-03. EDIZ: An Error Diffusion Image Zooming Scheme. https://arxiv.org/abs/1712.00855

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