What does "Objective Quality Metrics" mean?
Table of Contents
Objective Quality Metrics are tools used to evaluate the quality of images and videos without needing human opinions. They analyze the visual content and provide scores that reflect how good or bad the quality is.
Importance
These metrics are important for various applications, such as video streaming, gaming, and image editing. They help creators ensure that their content looks good and meets the expectations of viewers.
How They Work
Objective metrics look at different aspects of the media, such as color, clarity, and the presence of distortions caused by compression. They can quickly provide results, making them useful for large projects where getting human feedback would be too slow or expensive.
Limitations
While these metrics are fast, they are not always perfect. Their accuracy can vary depending on the type of content being analyzed and the kind of distortions applied. For example, some metrics might work well with one type of media but struggle with another.
Comparing With Subjective Assessments
Subjective assessments involve real people judging image quality, which tends to be more accurate but takes a lot of time and effort. Objective metrics can help bridge the gap between these two methods by providing quick assessments, but they are best used alongside human evaluations for the best results.