Perceptual-Based Locally Adaptive Noise and Blur Detection
abstract: The quality of real-world visual content is typically impaired by many factors including image noise and blur. Detecting and analyzing these impairments are important steps for multiple computer vision tasks. This work focuses on perceptual-based locally adaptive noise and blur detection a...
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Format: | Doctoral Thesis |
Language: | English |
Published: |
2016
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Online Access: | http://hdl.handle.net/2286/R.I.38426 |