Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A model of visual adaptation for realistic image synthesis
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
No reference image quality assessment for JPEG2000 based on spatial features
Image Communication
Perceivable artifacts in compressed video and their relation to video quality
Image Communication
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
IEEE Transactions on Image Processing
Kurtosis-based no-reference quality assessment of JPEG2000 images
Image Communication
Visual Attention on the Sphere
IEEE Transactions on Image Processing
A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)
IEEE Transactions on Image Processing
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A method to automatically assess the seriousness of the blurriness artifact in video frames displayed on a state-of-the-art TV monitor is presented. Different types of the artifact are identified, depending on the stage of the video chain where they are originated, namely, blur produced during acquisition, post-processing and encoding. Every type is observed to produce slightly different effects on the frame and, more importantly, to affect image quality differently, so that distinguishing among types is necessary to perform an appropriate restoration. Two main metrics are therefore introduced for classifying the type of blurriness and, when useful, measuring its strength. Particular care was taken in distinguishing the intentional background blur, which does not cause an actual degradation in the frame quality. The appropriateness of the method in classifying the artifact and predicting the subjective frame quality was verified in the experiments.