Image Quality Assessment & Enhancement

In this repo, I tried to gather multiple methods in image quality assessment and enhancement domain.

Enhancement Methods

1. Contrast

i) BPDHE

Brightness Preserving Dynamic Histogram Equalization

@H. Ibrahim and N. Pik Kong, “Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement,”
IEEE Transactions on Consumer Electronics, vol. 53, no. 4, pp. 1752–1758, Nov. 2007.

ii) HE (Histogram Equalization)

iii) DHE

Abdullah-Al-Wadud, M., Kabir, M.H., Dewan, M.A.A., Chae, O.: A dynamic
histogram equalization for image contrast enhancement. In: 2007 Digest of
Technical Papers International Conference on Consumer Electronics. IEEE,
??? (2007). https://doi.org/10.1109/icce.2007.341567 . https://doi.org/10.1109%
2Ficce.2007.341567

iv) Cao

Cao, G., Huang, L., Tian, H., Huang, X., Wang, Y., Zhi, R.: Contrast enhancement
of brightness-distorted images by improved adaptive gamma correction.
Computers &amp Electrical Engineering 66, 569–582 (2018) https://doi.org/10.
1016/j.compeleceng.2017.09.012

v) Ying

Ying, Z., Li, G., Ren, Y., Wang, R., Wang, W.: A new image contrast enhancement
algorithm using exposure fusion framework. In: Computer Analysis of
Images and Patterns, pp. 36–46. Springer, ??? (2017). https://doi.org/10.1007/
978-3-319-64698-5 4 . https://doi.org/10.1007%2F978-3-319-64698-5 4

vi) LIME

Guo X, Li Y, Ling H. LIME: Low-Light Image Enhancement via Illumination Map Estimation. 
IEEE Transactions on Image Processing 2017, 26 (2), 982–993. https://doi.org/10.1109/TIP.2016.2639450.

vii) MSRCR

Jobson, D.J., Rahman, Z., Woodell, G.A.: A multiscale retinex for bridging the
gap between color images and the human observation of scenes. IEEE Transactions
on Image Processing 6(7), 965–976 (1997) https://doi.org/10.1109/83.
597272

viii) Simplest Color Balance

Limare, N., Lisani, J.-L., Morel, J.-M., Petro, A.B., Sbert, C.: Simplest color
balance. Image Processing On Line 1, 297–315 (2011) https://doi.org/10.5201/
ipol.2011.llmps-scb

Image Quality Assessment Methods

1. Contrast

i) PCQI

A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images

@S. Wang, K. Ma, H. Yeganeh, Z. Wang, and W. Lin, “A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images,”
IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2387–2390, Dec. 2015.

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NOTE1: Please feel free to comment and contribute to make this repo better

NOTE2: I gathered some of the codes but unfortunately, I don't know who wrote the code. If someone know, please share the information with me.