A Survey for Various Techniques of Image Enhancement
DOI:
https://doi.org/10.26438/ijcse/v8i7.166169Keywords:
Image EnhancementAbstract
Image Enhancement is one of the important and tough techniques in digital image processing. The main objective of image enhancement is to find out the hidden details in an image. Image Enhancement improves the quality of image for human presentation. Contrast increment, elimination of noise and blurring and enlightenment of details are examples of enhancement operation. Image enhancement is basically divided into two main categories such as spatial domain and Frequency domain. In this paper we discuss and compare these two techniques with their related techniques. Thus, the contribution of this paper is to various image enhancement technique.
References
[1] Guo, Y.; Ke, X.; Ma, J.; Zhang, J.; 'A Pipeline Neural Network for Low-Light Image Enhancement', IEEE Access, Vol: 7, pp: 13737-13744, 2019.
[2] Zhou, J.; Zhang, D.; Zou, P.; Zhang, W.; Zhang, W.; 'Retinex-Based Laplacian Pyramid Method for Image Defogging', IEEE Access, Vol: 7, pp: 122459-122472, 2019.
[3] Mei, Y.; Ning, Y.; 'Multilayer Fusion and Chunk-Based Transmittance Estimation for Natural Hazy Image Enhancement', IEEE Access, Vol: 7, pp: 118269-118277, 2019.
[4] Ma, F.; Chai, J.; Wang, H.; 'Two-Dimensional Compact Variational Mode Decomposition-Based Low-Light Image Enhancement', IEEE Access, Vol: 7, pp: 136299-136309, 2019.
[5] Li, D.; Zhang, L.; Sun, C.; Yin, T.; Liu, C.; Yang, J.; 'Robust Retinal Image Enhancement via Dual-Tree Complex Wavelet Transform and Morphology-Based Method', IEEE Access, Vol: 7, pp: 47303-47316, 2019.
[6] Aladem, M.; Baek, S.; Rawashdeh, S.A.; 'Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination', Journal of Robotics, Vol: 2019, pp: 1-16, 2019.
[7] Sharma, A.; Marriboyina, V.; Gupta, K.; 'A novel underwater Image Enhancement technique', International Journal of Innovative Technology and Exploring Engineering, Vol: 8, Issue: 6, pp: 693-698, 2019.
[8] Rani, G.R.R.; Samson, C.; 'A Survey on Image Enhancement Techniques', International Journal of Computational Engineering Research, Vol: 9, Issue: 3, pp: 1-4, 2019.
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