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Research Articles

Region of interest enhancement for backlit images using global tone mappings and fusion

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Pages 57-64 | Received 12 Jan 2021, Accepted 11 Nov 2022, Published online: 04 Dec 2022

References

  • Pizer SM, Amburn EP, Austin JD, et al. Adaptive histogram equalization and its variations. Comput Vis Graph Image Process. 1987;39(3):355–368.
  • Trongtirakul T, Agaian S. Weighted histogram equalization using entropy of probability density function. In: 44th Electrical Engineering Conference (EECON 44) Proceeding, Vol. 1; 2021. p. 461–464.
  • Gonzalez RC, Woods RE. Digital image processing. Upper Saddle River: Prentice Hall; 2002.
  • Morel JM, Petro AB, Sbert C. Screened Poisson equation for image contrast enhancement. Image Process Line. 2014;4:16–29.
  • Rahman Z, Yi-Fei P, Aamir M, et al. Efficient image enhancement model for correcting uneven illumination images. IEEE Access. 2020;8:109038–109053.
  • Rivera AR, Ryu B, Chae O. Content-aware dark image enhancement through channel division. IEEE Trans Image Process. 2012;21(9):3967–3980.
  • Li C, Liu J, Liu A, et al. Global and adaptive contrast enhancement for low illumination gray images. IEEE Access. 2019;7:163395–163411.
  • Zarie M, Pourmohammad A, Hajghassem H. Image contrast enhancement using triple clipped dynamic histogram equalisation based on standard deviation. IET Image Proc. 2019;13(7):1081–1089.
  • Liu S, Zhang Y. Detail-preserving underexposed image enhancement via optimal weighted multi-exposure fusion. IEEE Trans Consum Electron. 2019;65(3):303–311.
  • Hao S, Han X, Guo Y, et al. Low-light image enhancement with semi-decoupled decomposition. IEEE Trans Multimed. 2020;22(12):3025–3038.
  • Ying Z, Li G, Ren Y, et al. A new low-light image enhancement algorithm using camera response model. In: Proceedings of the IEEE International Conference on Computer Vision Workshops; 2017. p. 3015–3022.
  • Wang YF, Liu HM, Fu ZW. Low-light image enhancement via the absorption light scattering model. IEEE Trans Image Process. 2019;28(11):5679–5690.
  • Mertens T, Kautz J, Van Reeth F. Exposure fusion: A simple and practical alternative to high dynamic range photography. In: Alexa Marc, Gortler Steven, Ju Tao, editors. Computer graphics forum. Vol. 28. Maui, Hawaii: Wiley Online Library; 2009. p. 161–171.
  • Fu X, Zeng D, Huang Y, et al. Figure 5(c) and Figure 6(c)A fusion-based enhancing method for weakly illuminated images. Signal Process 2016;129:82–96.
  • Jha RK, Chouhan R, Aizawa K, et al. Dark and low-contrast image enhancement using dynamic stochastic resonance in discrete cosine transform domain. APSIPA Trans Signal Inf Process. 2013;2(e6):1–18.
  • Wang S, Luo G. Naturalness preserved image enhancement using a priori multilayer lightness statistics. IEEE Trans Image Process. 2017;27(2):938–948.
  • Li C, Tang S, Yan J, et al. Low-light image enhancement via pair of complementary gamma functions by fusion. IEEE Access. 2020;8:169887–169896.
  • Chouhan R, Biswas PK, Jha RK. Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting. Signal Image Video Process. 2015;9(1):255–263.
  • Tang S, Li C. Low illumination image enhancement based on image fusion. In: 2020 6th International Conference on Robotics and Artificial Intelligence (ICRAI 2020). New York, NY: Association for Computing Machinery; 2020. p. 74–78.
  • Martorell O, Sbert C, Buades A. Ghosting-free DCT based multi-exposure image fusion. Signal Process Image Commun. 2019;78:409–425.
  • Gottschlich C. Curved-region-based ridge frequency estimation and curved gaborfilters for fingerprint image enhancement. IEEE Trans Image Process. 2011;21(4):2220–2227.
  • Kumar A, Jha RK, Nishchal NK. An improved gamma correction model for image dehazing in a multi-exposure fusion framework. J Vis Commun Image Represent. 2021;78(103122):1–14.
  • Wang P, Liu F, Yang C, et al. Blind forensics of image gamma transformation and its application in splicing detection. J Vis Commun Image Represent. 2018;55:80–90.
  • Wang P, Liu F, Yang C, et al. Parameter estimation of image gamma transformation based on zero-value histogram bin locations. Signal Process Image Commun. 2018;64:33–45.
  • Im J, Yoon I, Hayes MH, et al. Dark channel prior-based spatially adaptive contrast enhancement for back lighting compensation. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE; (2013). p. 2464–2468.
  • Hessel C. An implementation of the exposure fusion algorithm. Image Process Line. 2018;8:369–387.
  • Buades A, Lisani JL, Petro AB, et al. Backlit images enhancement using global tone mappings and image fusion. IET Image Proc. 2019;14(2):211–219.
  • Akai M, Ueda Y, Koga T, et al. A proposal of backlit image enhancement method improving visibility of dark regions. IEICE Tech Rep. 2020;120(176):5–10.
  • Akai M, Ueda Y, Koga T, et al. A single backlit image enhancement method for improvement of visibility of dark part. In: 2021 IEEE International Conference on Image Processing (ICIP). IEEE; (2021). p. 1659–1663.
  • Wang Q, Fu X, Zhang XP, et al. A fusion-based method for single backlit image enhancement. In: 2016 IEEE International Conference on Image Processing (ICIP); 2016. p. 4077–4081.
  • Mittal A, Soundararajan R, Bovik AC. Making a completely blind image quality analyzer. IEEE Signal Process Lett. 2013;22(3):209–212.

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