Picture Quality Testing
Picture quality testing
Picture Quality Measurement for Video Applications)
This application note focuses on the issues video engineers face when developing and/or evaluating an algorithm, device or video signal path; and the objective picture quality measurement solutions Tektronix® provides to support those requirements.
Understanding PQR, DMOS and PSNR Measurements
Compression systems and other video processing devices impact picture quality in various ways. With consumer expectations around increased picture quality continuing to rise, other tools are needed to facilitate the transition from analog technology to digital technology. This application note covers the various measurement aspects and how to address quality issues during the transition.
Objective Measurements and Subjective Assessments Application Note
To address the conflicting demands, engineering and quality assurance teams need solutions that help them efficiently and effectively optimize picture quality in their video products and systems. Subjective assessments are too slow and costly. Objective picture quality measurements can offer the needed speed at a reasonable cost.
Perceptual-Based Objective Picture Quality Measurement
In video systems, a wide range of video processing devices can affect overall picture quality. This application note covers how to address potential impairments in video content (caused by various devices) in order to ensure that the content reaching end-consumers creates an engaging viewing experience.
Ultra HDTV Testing Through MTS4EAV7 and PQA600B Application Note
This application note will step you through the HEVC compliance tests, as well as rate the Picture Quality using PSNR, DMOS and PQR. As the new Ultra HD video formats grow in popularity, so does the need to test the new formats. Within broadcast studios, or at the location of the content providers (Terrestrial, Cable, Satellite, etc.), the uncompressed video signal is at its highest quality and highest bandwidth. To deliver this video to the consumer, it must be highly compressed using the new ITU H.265 video codec (aka, HEVC). With this new and complex codec, quality testing is extremely important, and falls into two categories:
1) Efficient encoding, as well as protocol compliance to the HEVC standard.
2) Quality of the compressed video picture relative to its higher quality reference picture from the studio or content provider. With this technical paper, you will get step by step instructions on how to use the MTS4EAV7 and the PQA600B/PQASW to evaluate the codec system being designed or deployed.
An Adaptable Human Vision Model for Subjective Vide’o Quality Rating Prediction Among CIF, SD, HD and E-Cinema Whitepaper
A new highly adaptable model for predicting human vision response is presented for enabling an improved method of predicting subjective video quality. The ability to adapt enables comparison of video with dissimilar image sizes, viewing environments, frame rates, video quality classes, etc. (for example HD vs. SD vs. CIF). Model test results are compared with human response. Responses are from stimuli covering both JND (just noticeable differences) and supra-threshold (extending to near the opposite extreme). Supra-threshold responses compared include adaptation behavior exemplified by nonlinear response responsible for significant sensitivity changes, masking and visual illusions. Given the prediction of visible impairments, simulation of the contextual adaptation that occurs during the training portion of ITU-R BT.500 (subjective assessment methodology) is used for predicting DMOS.