Implementation of Image Enhancement IP Core for Biomedical Applications

Nalini Bodasingi*, Narayanam Balaji**
*_**Department of Electronics and Communication Engineering, JNTUK University College of Engineering, Vizianagram, Andhra Pradesh, India.
Periodicity:July - September'2019
DOI : https://doi.org/10.26634/jip.6.3.16357

Abstract

Although there are a lot of advances in biomedical imaging techniques, there are several factors that lead to low contrast, less visibility, and low quality of the image due to different image acquisition techniques. It is difficult to know the exact reason for this loss in quality of an image. Hence, there is a need to enhance the quality of an image of the required data available for analysis. This may be a mandatory step for every CAD tool. In this paper, an attempt is made to generate Hardware IP Core for the best enhancement technique using VERILOG. In order to recognize the best enhancement technique, a comparative analysis between two image enhancement techniques like Histogram Equalization (HE) and Power-Law transformation is performed by taking different modalities like MRI, CT of brain and lung. Although histogram equalization achieves comparatively better performance on almost all types of images, it sometimes produces excessive visual deterioration. So, the effective adjustment of contrast over an image can be done by Power-Law transformation by varying values of gamma. It is concluded that power-law transformation gives better objective parameters like Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE) when compared to HE at gamma value equal to 1.01. The novelty of the proposed paper is to generate IP Core for the power-law transformation based on gamma value. This technique is implemented in Xilinx VIVADO and the same is used for simulation and calculated hardware parameters like loop latency, number of flip flops used, area consumption, memory utilization and timing constraints.

Keywords

Histogram equalization, power law transformation, gamma, Xilinx VIVADO, IP

How to Cite this Article?

Bodasingi, N., and Balaji, N. (2019). Implementation of Image Enhancement IP Core for Biomedical Applications. i-manager's Journal on Image Processing, 6(3), 1-9. https://doi.org/10.26634/jip.6.3.16357

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