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- Title
Renyi entropy based Bi-histogram equalization for contrast enhancement of MRI brain images.
- Authors
D., Vijayalakshmi; Elangovan, Poonguzhali; Nath, Malaya Kumar
- Abstract
The quality of the MRI brain images is dependent on the sensor. It is essential to have a pre-processing technique to meet the finest quality at the sensor's cost. A pre-processing algorithm has been proposed in this paper to enhance the low contrast MRI brain images. The input image's histogram has been divided into two sub histograms using its median value to uphold the input image's mean brightness. After calculating the Renyi entropy from the sub histogram, histogram clipping has been done to regulate the enhancement rate. The clipping limit has been selected automatically from the minimum value of the mean, median of the distribution function, and itself. Additionally, the proposed algorithm has incorporated the Discrete Cosine Transform (DCT) to improve the enhancement. Experimental results have shown that the proposed algorithm enhances the input image and maintains the mean brightness.
- Subjects
MAGNETIC resonance imaging of the brain; HISTOGRAMS; COMPUTER algorithms; DISCRETE cosine transforms; DISTRIBUTION (Probability theory)
- Publication
Indian Journal of Radio & Space Physics, 2021, Vol 50, p5
- ISSN
0367-8393
- Publication type
Article