Abstract
Sharpness metrics that use the frequency spectrum of the image cannot separate the sharpness information from the scene content. Sharpness metrics that use spatial gradients of the edges of objects work only for comparisons among versions of the same image. We have developed a content independent, no-reference metric. In this approach, we create an edge profile by detecting edge pixels and enclosing them with 8×8 pixel blocks. For each block we compute sharpness using Kurtosis of the DCT. The final metric is the average sharpness of the blocks in the edge profile. The advantages of this method include robust combination of spatial and frequency domain information, flexibility in the edge detection component, and a normalized sharpness scale. The results show high correlation with subjective quality for sharpness-enhanced video.
Original language | English (US) |
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Pages | III/53-III/56 |
State | Published - Jan 1 2002 |
Externally published | Yes |
Event | International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002 |
Other
Other | International Conference on Image Processing (ICIP'02) |
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Country/Territory | United States |
City | Rochester, NY |
Period | 9/22/02 → 9/25/02 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering