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An Efficient Scheme for Detecting Copy-move Forged Images by Local Binary Patterns
tl;dr
This paper presents a new method for detecting the copy-move forgery using rotation invariant uniform local binary patterns (LBP ). Expand
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No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features
tl;dr
This paper presents a no-reference and robust image sharpness evaluation (RISE) method by learning multiscale features extracted in both the spatial and spectral domains. Expand
  • 64
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  • Open Access
Enhanced Just Noticeable Difference Model for Images With Pattern Complexity
tl;dr
We have introduced an improved pixel-wise JND estimation model for images based upon evaluation of pattern complexity. Expand
  • 52
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  • Open Access
Backward Registration-Based Aspect Ratio Similarity for Image Retargeting Quality Assessment
tl;dr
We develop a novel aspect ratio similarity (ARS) metric to evaluate the visual quality of retargeted images by exploiting the local block changes with a visual importance pooling strategy. Expand
  • 26
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  • Open Access
No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments
tl;dr
This paper presents a blind image blur evaluation algorithm based on discrete Tchebichef moments, which is more effective for blur representation. Expand
  • 144
  • 6
  • Open Access
Image Sharpness Assessment by Sparse Representation
tl;dr
This paper presents a no-reference sparse representation-based image sharpness index based on overcomplete dictionaries learned from natural images. Expand
  • 67
  • 6
  • Open Access
Detecting copy-move forgery under affine transforms for image forensics
tl;dr
This paper presents a method for detecting this kind of image tampering based on circular pattern matching. Expand
  • 66
  • 6
  • Open Access
Orientation selectivity based visual pattern for reduced-reference image quality assessment
tl;dr
This work was supported by the Major State Basic Research Development Program of China (973 Program, No. 20130203130001), the International cooperation project of Shaanxi science and technology R&D program (No. 61401325, 61472301, 61227004). Expand
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  • Open Access
A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures
tl;dr
A fast reliable computational quality predictor is eagerly desired in practical image/video applications, such as real-time coding and transcoding. Expand
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No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation
tl;dr
In this paper, we propose a novel no reference quality assessment method by incorporating statistical luminance and texture features (NRLT) for screen content images (SCIs) with both local and global feature representation. Expand
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