Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221007(2020)
Multi-focus Image Fusion Algorithm Based on Extended Phase Stretch Transform
Fig. 1. Results comparison. (a) Operation results by PST; (b) Operation results by Eq. (13)
Fig. 3. Grayscale variance and angle map variance maps of the source images. (a)(d) Blurred and clear source images;(b)(e) grayscale variance of Fig. (a) and (d); (c)(f) angle map variance of Fig. (a) and (d)
Fig. 4. Original image and high-frequency information extraction results. (a)(b) Original images; (c)(d) high-frequency information extracted by kernel function in Ref. [9] and proposed kernel function
Fig. 6. Fusion results of Lytro-07. (a) Fusion result by DWT; (b) fusion result by Laplace operator; (c) fusion result by SR; (d) fusion result by guided filter; (e) fusion result by JCAN; (f) fusion result using the kernel function in Ref. [9]; (g) fusion result using the proposed kernel function
Fig. 7. Difference maps of fusion results. (a)-(g) Corresponding to the difference maps in
Fig. 8. Local enlarged drawing. (a)(b) Corresponding to the local enlarged drawing in
Fig. 9. Source images and fusion results of proposed algorithm. (a)(b) Source images; (c) fusion results
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Yafeng Zhang, Zexun Geng, Junmin Wang. Multi-focus Image Fusion Algorithm Based on Extended Phase Stretch Transform[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221007
Category: Image Processing
Received: Feb. 10, 2020
Accepted: Apr. 10, 2020
Published Online: Oct. 27, 2020
The Author Email: Yafeng Zhang (zhangyafeng@pdsu.edu.cn)