The Technique and Application of Image Super-Resolution Reconstruction
Lulu Yu, Hua Zou · 2013
Image super-resolution reconstruction technique and its application are introduced in this paper. Image super resolution technology process is to obtain more additional information than single image, and then with specific algo- rithm, the additional information is put into the original image to obtain an image with high quality and high definition. Super-resolution reconstruction includes two kinds of technology: reconstruction-based technology and learning-based technology. The reconstruction-based technology is estimating a high-resolution image from inputting images according to specific degradation model. Learning-based technology is supplying inputting images with prior knowledge from training examples. This paper introduces some major algorithms of reconstruction-based technology and learning-based technology in detail. As people are getting higher and higher requirement for the resolution of the digital image, image super resolution technology is applied more widely in many fields, such as military, medicine, bank, exploration, etc.