BT Technology Journal
BT Technology Journal
A single-ended blockiness measure for JPEG-Coded images
Signal Processing
Performance evaluation of a perceptual ringing distortion metric for digital video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Reduction of blocking artifacts in JPEG compressed images
Digital Signal Processing
No-reference JPEG-image quality assessment using GAP-RBF
Signal Processing
Telepresence: Understanding People as Content
Presence: Teleoperators and Virtual Environments
Combined frequency and spatial domain algorithm for the removal of blocking artifacts
EURASIP Journal on Applied Signal Processing
Fast Blind Measurement of Blocking Artifacts in both Pixel and DCT Domains
Journal of Mathematical Imaging and Vision
Using edge direction information for measuring blocking artifacts of images
Multidimensional Systems and Signal Processing
No-reference noticeable blockiness estimation in images
Image Communication
MM '08 Proceedings of the 16th ACM international conference on Multimedia
No-reference image quality assessment using modified extreme learning machine classifier
Applied Soft Computing
A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A perceptually relevant no-reference blockiness metric based on local image characteristics
EURASIP Journal on Advances in Signal Processing
Image quality assessment based on multiscale geometric analysis
IEEE Transactions on Image Processing
Image quality assessment based on included angle cosine and discrete 2-D wavelet transform
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
A simplified human vision model applied to a blocking artifact metric
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Image quality assessment based on energy of structural distortion
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Image quality assessment based on perceptual structural similarity
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Objective perceptual video quality measurement method based on hybrid no reference framework
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Content-partitioned structural similarity index for image quality assessment
Image Communication
A new quality evaluation method of binary images
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Towards video quality metrics based on colour fractal geometry
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Blocking artifacts measurement based on the human visual system
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
GAP-RBF based NR image quality measurement for JPEG coded images
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
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A visual model that gives a distortion measure for blocking artifacts in images is presented. Given the original and reproduced image as inputs, the model output is a numerical value that quantifies the visibility of blocking error in the reproduced image. The model is derived based on the human visual sensitivity to horizontal and vertical edge artifacts that result from blocking. Psychovisual experiments have been carried out to measure the visual sensitivity to these artifacts. In the experiments, typical edge artifacts are shown to subjects and the sensitivity to them is measured with the variation of background luminance, background activity, edge length, and edge amplitude. Synthetic test patterns are used as background images in the experiments. The sensitivity measures thus obtained are used to estimate the model parameters. The final model is tested on real images, and the results show that the error visibility predicted by the model correlates well with the subjective ranking