Quality assessment

Image and video quality assessment

Video and image quality assessment Quality assessment (QA) consists of measuring the user's subjective opinion of perceived image/video quality, the user's quality preferences, or the utility of the images for a specific task. The goal of QA is to evaluate and compare imaging systems, and to help drive system design (e.g. sensors, image processing, displays). Image Quality (IQ) is application specific. For example, optimizing Quality can mean: Finding the highest amount of compression that results in the smallest visible artifacts (such as blocking or blurring) for a multimedia video compression codec Minimizing perceptual differences between the reference and the output colors of a color-matching algorithm Assessing the effect of LCD temporal response on cancer detection performance ...and each new technology brings new quality trade-offs. We have applied our research to application domains such as broadcast, surveillance, multimedia, and medical, to evaluate technologies such as color correction, camera automation, video denoising, and video compression.

Performance of four subjective video quality assessment protocols and impact of different rating pre-processing and analysis methods

Quantification of imaging system performance and training/validation of objective quality assessment (QA) algorithms both require accurate estimation of subjective video and image quality. The International Telecommunication Union (ITU) offers …

Subjective and objective quality evaluation of compressed medical video sequences

Visual quality assessment of H.264 and motion JPEG compressed laparoscopy video