【文件属性】：
文件名称：Image Quality Assessment of Computer-generated Image
文件大小：4.7MB
文件格式：PDF
更新时间：2021-07-05 03:51:04
Image Qualit deep learnin
The measure of image (videos) quality remains a research challenge and a very
active field of investigation considering image processing. One solution consists of
providing a subjective score to the image quality (according to a reference or
without reference) obtained from human observers. The setting of such
psycho-visual tests is very expensive (considering time and human organization)
and needs clear and strict proceedings. Algorithmic solutions have been developed
(objective scores) to avoid such tests. Some of these techniques are based on the
modeling of the Human Visual System (HVS) to mimic the human behavior, but
they are complex. In the case of natural scenes, a great number of image (or video)
quality databases exist that makes possible the validation of these different techniques.
Soft computing (machine learning, fuzzy logic, etc.), widely used in many
scientific fields such as biology, medicine, management sciences, financial sciences,
plant control, etc., is also a very useful cross-disciplinary tool in image processing.
These tools have been used to establish image quality and they are now wellknown.