Retinex Theory Based Automated Contrast Enhancement of Gamma Radiographic Images of Pipe Welds
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OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Thermography and Photoacoustic Techniques · Welding Techniques and Residual Stresses
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References (21)
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10. Rasheed, M.T., Guo, G., Shi, D., Khan, H., Cheng, X.: An, empirical study on Retinex methods for low-light image enhancement. Remote. Sens. 14, 4608 (2022). https://doi.org/10.3390/rs1418460810.3390/rs14184608 ↗
11. Jobson, D.J., Rahman, Z.U., Woodell, G.A.: A multiscale Retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. Image. Process. 6, 965–976 (1997)10.1109/83.597272 ↗
12. Liu, Sh., Long, W., He, L., Li, Y., Ding, W.: Retinex-based fast algorithm for low-light image enhancement. Entropy 23(6), 746 (2021). https://doi.org/10.3390/e2306074610.3390/e23060746 ↗
13. Anila, V., Nagarajan, G. & Perarasi, T.: Low-light image enhancement using Retinex based an extended ResNet model. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-20285-w10.1007/s11042-024-20285-w ↗
14. Zhao, Z., Xiong, B., Wang, L., Ou, Q., Yu, L., Kuang, F.: Retinex DIP: a unified deep framework for low-light image enhancement. IEEE Trans. Circuits. Syst. Video. Technol. 32(3), 1076–1088 (2022). https://doi.org/10.1109/TCSVT.2021.307337110.1109/TCSVT.2021.3073371 ↗
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18. ISO 17636–1: Non-destructive testing of welds — Radiographic testing, Part 1: X- and gamma-ray techniques with film, 2022
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