PQA500 Picture Quality Analyzer
The true measure of any television system is viewer satisfaction. Based on the concepts of the human vision system, the PQA500 provides a suite of repeatable, objective quality measurements that closely correspond with subjective human visual assessment. The PQA500 can be used for installation, verification and trouble-shooting of each block of a video system because it is video technology agnostic; any visible differences between video input and output from processing components in the system chain can be quantified and assessed for video quality degradation.
- CODEC Design, Optimization and Verification
- Conformance Testing, Transmission Equipment and System Evaluation
- Digital Video Mastering
- Video Compression Services
- Digital Consumer Product Development and Manufacturing
- Overview
- Application Notes
- Related Products
Features |
Benefits |
| Objective perceptual measurements based on an accurate human vision system model |
|
| Attention modeling software and attention-weighted picture quality measurements | Unique tools for optimizing video processing algorithms and video distribution systems |
| Measurements for artifact detection, artifact-weighted picture quality and classic PSNR | Help isolate and correct quality problems and evaluate quality tradeoffs |
Predicting Subjective Video Quality
A contributed article in Broadcast Engineering that discusses Tektronix picture quality analysis solutions.
The Human Vision Model
A new highly adaptable model for predicting human vision response is presented for enabling an improved method of predicting subjective video quality.
Picture Quality Measurements for Video Applications
Explore the challenges faced by video engineers required to maximize the picture quality for each viewing condition across a wide variety of content.
Understanding PQR, DMOS and PSNR Measurements
This application note covers these various measurement aspects and how to address quality issues during the transition.
Perceptual-Based Objective Picture Quality Measurement
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.