scispace - formally typeset
Open Access

A Summary of Methods of Measurement for Objective Video Quality Parameters Based on the Sobel Filtered Image and the Motion Difference Image

Stephen Wolf
Reads0
Chats0
TLDR
The video quality parameters presented here have demonstrated strong correlation to subjective evaluations of the video and can be used for in-service as well as out-of-service tests since low bit-rate features are extracted and compared from the input and corresponding output video images.
Abstract
Summarizes detailed methods of measurement for objective video quality parameters based on the Sobel-filtered image and the motion difference image. This contribution was submitted to ANSI T1A1 prior to conducting the T1A1 subjective experiment (this experiment collected 625 mean opinion scores - i.e., 25 test scenes passed through 25 different video transmission systems that ranged in bit rate from 64 kb/sec to 45 Mb/sec). The video quality parameters presented here have demonstrated strong correlation to subjective evaluations of the video and can be used for in-service as well as out-of-service tests since low bit-rate features are extracted and compared from the input and corresponding output video images.

read more

Citations
More filters
Journal ArticleDOI

An SVD-based grayscale image quality measure for local and global assessment

TL;DR: A new grayscale image quality measure that can be used as a graphical or a scalar measure to predict the distortion introduced by a wide range of noise sources based on singular value decomposition is presented.
Proceedings ArticleDOI

Quality measurement for monochrome compressed images in the past 25 years

TL;DR: The criteria for monochrome compressed image quality from 1974 to 1999 is reviewed and attempts to improve quality measurement include incorporation of simple models of the human visual system (HVS) and multi-dimensional tool design.
Proceedings ArticleDOI

Multidimensional image quality measure using singular value decomposition

TL;DR: A new image quality measure that can be used as a multidimensional or a scalar measure to predict the distortion introduced by a wide range of noise sources based on the Singular Value Decomposition.
Proceedings ArticleDOI

The history of video quality model validation

TL;DR: This paper describes objective video quality validation efforts conducted in the past two decades, including a validation test performed by the T1A1 committee in the early 1990's and validation tests performed by ITU-T Study Group 12.

Objective Measures for Detecting Digital Tiling

TL;DR: An algorithm for quantifying the spatial gradients or edges in an image as a function of angle or orientation and deriving objective video quality metrics from these low bandwidth features that quantify the amount of tiling and blurring in the output image.