Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181021(2020)
Quality Assessment of Blind Color Images Using Quaternion Fourier Transform
Fig. 1. Original images and spectra of images from R、G、B channels obtained by quaternion Fourier transform. (a)(e) Original images; (b)(f) images from R channel; (c)(g) images from G channel; (d)(h) images from B channel
Fig. 2. Monarch Gaussian blurred images under different standard deviations. (a) σ=0.5; (b) σ=1.0; (c) σ=1.5; (d) σ=2.0; (e) σ=2.5; (f) σ=3.0; (g) σ=3.5; (h) σ=4.0; (i) σ=4.5
Fig. 3. Quaternion Fourier transform spectra of Monarch blurred image under different standard deviations. (a) σ=0.5; (b) σ=1.0; (c) σ=1.5; (d) σ=2.0; (e) σ=2.5; (f) σ=3.0; (g) σ=3.5; (h) σ=4.0; (i) σ=4.5; (j) σ=5.0
Fig. 4. Principle of color image quality assessment
Fig. 5. Building blurred images and their corresponding spectra. (a)(c) σ=0.5; (b)(d) σ=5.0
Fig. 6. Original color images. (a) Bike; (b) building; (c) cap; (d) monarch butterfly; (e) painted house; (f) parrot
Fig. 7. Noiseless blurred images. (a)-(c) σ=5.0; (d)-(f) ρ=20
Fig. 8. Quality assessment results of noiseless Gaussian blurred images
Fig. 9. Quality assessment results of noiseless motion blurred images
Fig. 10. Noisy blurred images. (a)-(c) v=0.02; (d)-(f) d=0.20
Fig. 11. Quality assessment results of images with Gaussian white noises (v=0.01)
Fig. 12. Quality assessment results of images with Gaussian white noises (v=0.02)
Fig. 13. Quality assessment results of images with salt and pepper noises (d=0.10)
Fig. 14. Quality assessment results of images with salt and pepper noises (d=0.20)
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Ke Zhou, Chengmao Wu, Changxing Li. Quality Assessment of Blind Color Images Using Quaternion Fourier Transform[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181021
Category: Image Processing
Received: Jan. 7, 2020
Accepted: Feb. 24, 2020
Published Online: Sep. 2, 2020
The Author Email: Zhou Ke (rudygoodman@163.com)