Abstract
The medical images are the main source for analysis of diseases. These images are having visual quality (VQ) issues like contrast, glare, noise etc, which restricts the proper analysis of disease. In order to overcome these image related issues, various techniques are presented in last decade. Digital image enhancement (IE) is the technique which improves the VQ of the image. The IE converts the desired image as image with particular VQ for an application. This paper introduces a novel approach of IE using Field Programmable Gate Array (FPGA) by implementing the different algorithms (brightness control, contrast adjustment, thresholding, negative transformation, filtering) for brain imaging. The proposed IE technique implements the Multi-Processor System on Chip (MPSoC) over FPGA. The MPSoC is distinct computer architecture while FPGA is hardware where the image processing algorithms can be implemented properly. The proposed IE methodology assures the low cost system with high accuracy. The proposed technique is incorporated with Advanced Microcontroller Bus Architecture (AMBA) which provides the interface for communication among master and slave module.
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Archana, H.R., Vasundara Patel, K.S. (2019). A Novel Design and Implementation of Imaging Chip Using AXI Protocol for MPSOC on FPGA. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Intelligent Systems in Cybernetics and Automation Control Theory. CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol 860. Springer, Cham. https://doi.org/10.1007/978-3-030-00184-1_5
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