Non-Reference Image Quality Evaluation in Color Channel

Fig. 1. Five images of different distortion types. (a) Additive Gaussian noise; (b) additive noise in colorcomponent; (c) spatially correlated noise; (d) masked noise; (e) high frequency noise

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Fig. 2. Five additive Gaussian noise images of different distortion levels. (a)-(e) Level 1-5

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Fig. 3. MSCN coefficient distribution of 5 images with different distortion types. (a) HSV_H channel; (b) HSV_S channel; (c) HSV_V channel; (d) gray space

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Fig. 4. MSCN coefficient distribution of 5 images with different distortion levels. (a) HSV_H channel; (b) HSV_S channel; (c) HSV_V channel; (d) gray space

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Fig. 5. Flow chart of RGB_R channel image quality evaluation model

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Fig. 6. Scores of the 11th type of distorted images for each color channel training model

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Fig. 7. Scores of the 20th type of distorted images for each color channel training model

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Table 1. Pearson coefficients of gray space model and RGB_B channel model for 24 distorted images

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Table 1. Pearson coefficients of gray space model and RGB_B channel model for 24 distorted images

Distortion type	Gray space	RGB_B channel
1	0.91	0.92
2	0.90	0.76
3	0.97	0.94
4	0.63	0.73
5	0.90	0.95
6	0.93	0.92
7	0.95	0.85
8	0.96	0.99
9	0.83	0.98
10	0.93	0.92
11	0.95	0.98
12	0.77	0.96
13	0.89	0.83
14	0.77	0.94
15	0.89	0.91
16	0.73	0.77
17	0.91	0.69
18	0.00	0.49
19	0.87	0.90
20	0.11	0.64
21	0.97	0.97
22	0.97	0.94
23	0.99	0.99
24	1.00	0.98

Table 2. Pearson coefficients obtained by image quality evaluation model of different color channels
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Table 2. Pearson coefficients obtained by image quality evaluation model of different color channels
Color channel Gray RGB_R RGB_G RGB_B HSV_H HSV_S HSV_V LAB_L LAB_A LAB_B
Pearson coefficient 0.63 0.65 0.67 0.70 0.51 0.67 0.68 0.62 0.66 0.62

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Ziang Qiao, Tao Liu. Non-Reference Image Quality Evaluation in Color Channel[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121101

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Paper Information

Category: Imaging Systems

Received: Sep. 24, 2019

Accepted: Oct. 30, 2019

Published Online: Jun. 3, 2020

The Author Email: Qiao Ziang (shammgod@126.com), Liu Tao (opticmcu@cjlu.edu.cn)

DOI:10.3788/LOP57.121101

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Pearson coefficients of gray space model and RGB_B channel model for 24 distorted images

Table 1. Pearson coefficients of gray space model and RGB_B channel model for 24 distorted images

Table 2. Pearson coefficients obtained by image quality evaluation model of different color channels

Table 2. Pearson coefficients obtained by image quality evaluation model of different color channels