Laser & Optoelectronics Progress, Volume. 55, Issue 2, 021007(2018)
General Mean Pooling Strategy for Color Image Quality Assessment
Fig. 1. Reference image and distorted images of varying degrees in TID2013 database. (a) Reference image; (b) distorted image (EMSE=76.54, RPSNR=29.29); (c) distorted image (EMSE=0.88, RPSNR=48.68)
Fig. 2. SROCC curves varying with r. (a) General mean pooling strategy 1; (b) general mean pooling strategy 2
Fig. 3. SROCC mesh graphs varying with ω. (a) Variation in SROCC of GM-C-SSIM2 with ω2 and ω3; (b) variation in SROCC of GM-C-GSSIM2 with ω2 and ω3; (c) variation in SROCC of GM-C-FSIM2 with ω1 and ω2
Fig. 4. Scatter plots between objective scores and MOS of each evaluation algorithm in TID2013 database. (a) C-SSIM; (b) C-GSSIM; (c) C-FSIM; (d) GM-C-SSIM1; (e) GM-C-GSSIM1; (f) GM-C-FSIM1; (g) GM-C-SSIM2; (h) GM-C-GSSIM2; (i) GM-C-FSIM2
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Yuemei Ma, Haiying Chen, Guojun Liu. General Mean Pooling Strategy for Color Image Quality Assessment[J]. Laser & Optoelectronics Progress, 2018, 55(2): 021007
Category: Image processing
Received: Aug. 1, 2017
Accepted: --
Published Online: Sep. 10, 2018
The Author Email: Guojun Liu ( liugj@nxu.edu.cn)