A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital images and human vision
Digital images and human vision
A survey of hybrid MC/DPCM/DCT video coding distortions
Signal Processing - Special issue on image and video quality metrics
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Standard Codecs: Image Compression to Advanced Video Coding
Standard Codecs: Image Compression to Advanced Video Coding
Automatic Estimation and Removal of Noise from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
A perceptually relevant no-reference blockiness metric based on local image characteristics
EURASIP Journal on Advances in Signal Processing
Perceivable artifacts in compressed video and their relation to video quality
Image Communication
Automated video chain optimization
IEEE Transactions on Consumer Electronics
Artifact reduction in low bit rate DCT-based image compression
IEEE Transactions on Image Processing
A No-Reference Metric for Perceived Ringing Artifacts in Images
IEEE Transactions on Circuits and Systems for Video Technology
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An efficient approach toward a no-reference ringing metric intrinsically exists of two steps: first detecting regions in an image where ringing might occur, and second quantifying the ringing annoyance in these regions. This paper presents a novel approach toward the first step: the automatic detection of regions visually impaired by ringing artifacts in compressed images. It is a no-reference approach, taking into account the specific physical structure of ringing artifacts combined with properties of the human visual system (HVS). To maintain low complexity for real-time applications, the proposed approach adopts a perceptually relevant edge detector to capture regions in the image susceptible to ringing, and a simple yet efficient model of visual masking to determine ringing visibility. The approach is validated with the results of a psychovisual experiment, and its performance is compared to existing alternatives in literature for ringing region detection. Experimental results show that our method is promising in terms of both reliability and computational efficiency.