These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
129 related articles for article (PubMed ID: 31226076)
1. Predicting the Quality of Images Compressed after Distortion in Two Steps. Yu X; Bampis CG; Gupta P; Bovik AC IEEE Trans Image Process; 2019 Jun; ():. PubMed ID: 31226076 [TBL] [Abstract][Full Text] [Related]
2. Blind image quality assessment: from natural scene statistics to perceptual quality. Moorthy AK; Bovik AC IEEE Trans Image Process; 2011 Dec; 20(12):3350-64. PubMed ID: 21521667 [TBL] [Abstract][Full Text] [Related]
3. Predicting the Quality of Compressed Videos With Pre-Existing Distortions. Yu X; Birkbeck N; Wang Y; Bampis CG; Adsumilli B; Bovik AC IEEE Trans Image Process; 2021; 30():7511-7526. PubMed ID: 34460374 [TBL] [Abstract][Full Text] [Related]
4. Degraded Reference Image Quality Assessment. Athar S; Wang Z IEEE Trans Image Process; 2023 Jan; PP():. PubMed ID: 37018642 [TBL] [Abstract][Full Text] [Related]
6. Fine-Grained Quality Assessment for Compressed Images. Zhang X; Lin W; Wang S; Liu J; Ma S; Gao W IEEE Trans Image Process; 2019 Mar; 28(3):1163-1175. PubMed ID: 30296227 [TBL] [Abstract][Full Text] [Related]
7. No-reference image quality assessment using visual codebooks. Ye P; Doermann D IEEE Trans Image Process; 2012 Jul; 21(7):3129-38. PubMed ID: 22410336 [TBL] [Abstract][Full Text] [Related]
8. Correlation between subjective and objective assessment of magnetic resonance (MR) images. Chow LS; Rajagopal H; Paramesran R; Magn Reson Imaging; 2016 Jul; 34(6):820-831. PubMed ID: 26969762 [TBL] [Abstract][Full Text] [Related]
9. VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment. Pan Z; Yuan F; Lei J; Fang Y; Shao X; Kwong S IEEE Trans Image Process; 2022; 31():1613-1627. PubMed ID: 35081029 [TBL] [Abstract][Full Text] [Related]
10. Large-Scale Study of Perceptual Video Quality. Sinno Z; Bovik AC IEEE Trans Image Process; 2018 Sep; ():. PubMed ID: 30222561 [TBL] [Abstract][Full Text] [Related]
11. No-reference image quality assessment in the spatial domain. Mittal A; Moorthy AK; Bovik AC IEEE Trans Image Process; 2012 Dec; 21(12):4695-708. PubMed ID: 22910118 [TBL] [Abstract][Full Text] [Related]
12. Opinion-Unaware Blind Quality Assessment of Multiply and Singly Distorted Images via Distortion Parameter Estimation. Zhang Y; Chandler DM IEEE Trans Image Process; 2018 Jul; ():. PubMed ID: 30028705 [TBL] [Abstract][Full Text] [Related]
13. No-Reference Image Quality Assessment by Hallucinating Pristine Features. Chen B; Zhu L; Kong C; Zhu H; Wang S; Li Z IEEE Trans Image Process; 2022; 31():6139-6151. PubMed ID: 36112560 [TBL] [Abstract][Full Text] [Related]
14. Learning No-Reference Quality Assessment of Multiply and Singly Distorted Images with Big Data. Zhang Y; Mou X; Chandler DM IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31794396 [TBL] [Abstract][Full Text] [Related]
18. Massive Online Crowdsourced Study of Subjective and Objective Picture Quality. Ghadiyaram D; Bovik AC IEEE Trans Image Process; 2016 Jan; 25(1):372-87. PubMed ID: 26571530 [TBL] [Abstract][Full Text] [Related]
19. Subjective and Objective Quality Assessment of 2D and 3D Foveated Video Compression in Virtual Reality. Jin Y; Chen M; Goodall T; Patney A; Bovik AC IEEE Trans Image Process; 2021; 30():5905-5919. PubMed ID: 34125674 [TBL] [Abstract][Full Text] [Related]