No-Reference Image Quality Assessment in the Spatial Domain

Cited by (1,005)

Items 601–700 of 1,005

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40. No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction
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43. Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
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44. Learning Receptive Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images
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46. Blind quality estimator for 3D images based on binocular combination and extreme learning machine
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47. Deep learning-based image super-resolution considering quantitative and perceptual quality
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48. A High-Definition Diversity-Scene Database for Image Quality Assessment
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49. Fine-Grained Quality Assessment for Compressed Images
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51. Multi-Pooled Inception Features for No-Reference Image Quality Assessment
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53. CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality
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57. 3DTA: No-Reference 3D Point Cloud Quality Assessment With Twin Attention
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59. Using Binocular Feature Combination for Blind Quality Assessment of Stereoscopic Images
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60. An algorithm for no-reference image quality assessment based on log-derivative statistics of natural scenes
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