Framework for fair objective performance evaluation of single‐image super‐resolution algorithms
Won‐Hee Kim, Jong‐Seok Lee · Electronics Letters · 2014
Single‐image super‐resolution (SISR) is a technology to reconstruct a high‐resolution image from a single low‐resolution input image. The performance of SISR algorithms is usually evaluated by applying full‐reference objective image quality assessment metrics. First, it is argued that the result of objective quality evaluation may become inconsistent with subjective quality assessment, depending on how the input low‐resolution image is generated and how up‐scaling during SISR is conducted. Since such inconsistency is due to subpixel‐level misalignment between the original and output images, a framework is then proposed that compensates any spatial displacement between the two images and enables fair SISR performance evaluation using objective quality metrics.