A Survey of Emerging Trends on Medical Image Enhancement Techniques

Authors

  • Panse V Department of Computer Science, Rabindranath Tagore University (AISECT), Raisen, M. P., India
  • Gupta R Department of Computer Science, Rabindranath Tagore University (AISECT), Raisen, M. P., India

DOI:

https://doi.org/10.26438/ijcse/v6i9.627634

Keywords:

Medical Image, Spatial Domain, Frequency Domain, Fuzzy Domain

Abstract

During image acquisition, inadequate brightness may cause poor contrast and noise in many images like medical, satellite images. So it is required to improve the contrast and eliminate the noise to increase image quality. So image enhancement is required in medical image to improvement in quality. In this paper, we describe the overview of medical image enhancement techniques, classification of image enhancement techniques, researches done in the field of medical image enhancement, shortcoming comes after reviews, Parameter used to check the quality of enhanced images, and general needs required in this field of active research.

References

K. Hasikin and N. A. M. Isa, "Enhancement of The Low Contrast Image Using Fuzzy Set Theory", 14th International Conference on Modelling and Simulation, IEEE, 2012.

S. S. Bedil, R. Khandelwal, "Various Image Enhancement Techniques - A Critical Review" International Journal of Advanced Research in Computer and Communication Engineering Vol.2, Issue.3, March 2013.

R. Maini and H. Aggarwal, "A Comprehensive Review of Image Enhancement Techniques", Journal of Computing, Vol.2, Issue.3, 2010.

M. Hanmandlu and D. Jha, "An Optimal Fuzzy System for Color Image Enhancement”, Image Processing, IEEE Transactions on, Vol.15, pp. 2956-2966, 2006.

F. G. Mohammed, H. M. Rada, S. G. Mohammed, "Contrast and Brightness Enhancement for Low Medical X-Ray Images", International Journal of Scientific & Engineering Research, Vol.4, Issue.5, 2013.

P. Rasti, M. Daneshmand, F. Alisinanoglu, C. Ozcinar, and G. Anbarjafari, "Medical Image Illumination Enhancement and Sharpening by Using Stationary Wavelet Transform", 24th IEEE Conference on Signal Processing and Communication Application Conference (SIU), 2016.

I. Isa, S. N. Sulaiman, and M. F. Abdullah, "New Image Enhancement Technique for WMH Segmentation of MRI FLAIR Image", IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2016.

G. D. Licciardo, C. Cappetta, L. D. Benedetto, “New Application Specific Image Processor for HDR Medical Image”, IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), 2017.

P. Pandey, S. Jain, S. K. Khatri “Medical Images enhancement using Kalman Filter”, IEEE international Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), 2017.

E. S. Yelmanova, Y. M. Romanyshyn, “Histogram-Based Methods using the Known No-Reference Contrast Metrics”, IEEE 37th International Conference on Electronics and Nanotechnology, 2017.

Y. Shen and W. Zhu, "Medical Image Processing using A Machine Vision-based Approach", International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No. 3, 2013.

Ritika, S. Kaur, "Contrast Enhancement Techniques for Images – A Visual Analysis", International Journal of Computer Applications, Vol.64 – pp. 17, 2013.

T. K. Agarwal, M. Tiwari, S. S. Lamba, "Modified Histogram Based Contrast Enhancement using Homomorphic Filtering for Medical Images", IEEE Conference 2014.

N. Senthilkumaran and J. Thimmiaraja, "Histogram Equalization for Image Enhancement Using MRI Brain Images", IEEE Conference on World Congress on Computing and Communication Technologies, 2014.

T. Gong, T. Fan, L. Pei and Z. Cai, "Improved Immune Algorithm for Medical Image Enhancement", International Workshop on Artificial Immune Systems (AIS), 2015.

P. Joris, W. Develter, W. V. D. Voorde, P. Suetens, F. Maes, D. Vandermeulen, P. Claes, “Preprocessing of Heteroscedastic Medical Images”, IEEE Access, Vol.6, 2018.

N. S. Lele, "Image Classification Using Convolutional Neural Network", International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.3, pp.22-26, 2018.

G. Pannu, S. Verma, U. Arora and A. K. Singh, "Comparison of various Anonymization Technique", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.6, pp.16-20, 2017.

Downloads

Published

2025-11-15
CITATION
DOI: 10.26438/ijcse/v6i9.627634
Published: 2025-11-15

How to Cite

[1]
V. Panse and R. Gupta, “A Survey of Emerging Trends on Medical Image Enhancement Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 627–634, Nov. 2025.