Title :
Framework for fair objective performance evaluation of single-image super-resolution algorithms
Author :
Won-Hee Kim ; Jong-Seok Lee
Author_Institution :
Yonsei Inst. of Convergence Technol., Yonsei Univ., Incheon, South Korea
Abstract :
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.
Keywords :
image reconstruction; image resolution; IQA metrics; SISR algorithms; fair objective performance evaluation; full-reference objective image quality assessment metrics; high-resolution image reconstruction; input low-resolution image generation; objective quality evaluation; single-image super-resolution algorithms; spatial displacement; subpixel-level misalignment;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2014.2784