To sharpen or not to sharpen? On the effect of sharpening filters applied to magnified images

Leonardo R Emmendorfer; Vinicius Menezes de Olviveira; Tatiana T. Schein; Junior C. de Jesus; Bárbara D. A. Rodriguez

doi:10.1117/12.2645128

12 October 2022 To sharpen or not to sharpen? On the effect of sharpening filters applied to magnified images

Leonardo R Emmendorfer, Vinicius Menezes de Olviveira, Tatiana T. Schein, Junior C. de Jesus, Bárbara D. A. Rodriguez

Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 123422V (2022) https://doi.org/10.1117/12.2645128
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China

Abstract

Super-resolution algorithms aim to produce magnified high-resolution versions from low-resolution images. Some methods, however, are prone to generate blur during the process. Simple sharpening filters are adopted to alleviate this type of artifact. However, the actual effectiveness of this approach is not clear-cut in the literature. This work evaluates the effect of three simple sharpening filters on the quality of images obtained from super-resolution methods. Two metrics were considered in the evaluation: the Peak signal-to-noise ratio (PSNR) metric, and the Learned Perceptual Image Patch Similarity (LPIPS). One of the filters could consistently improve the LPIPS metric of magnified images from diverse benchmark sets on top of seven super-resolution methods. The increments obtained for the perceptual metric seem to occur due to the sharpening effect. Improvements on PSNR values were not as consistent.

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Leonardo R Emmendorfer, Vinicius Menezes de Olviveira, Tatiana T. Schein, Junior C. de Jesus, and Bárbara D. A. Rodriguez "To sharpen or not to sharpen? On the effect of sharpening filters applied to magnified images", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 123422V (12 October 2022); https://doi.org/10.1117/12.2645128

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KEYWORDS

Image filtering

Super resolution

Reconstruction algorithms

Digital filtering

Image processing

RGB color model

Visualization

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