Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i17/122761
Year: 2018, Volume: 11, Issue: 17, Pages: 1-6
Original Article
K. Ribana, S. Pradeep and B. Nandhini
Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur – 639113,Tamil Nadu, India; [email protected], [email protected], [email protected]
*Author for correspondence
K. Ribana,
Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur – 639113,Tamil Nadu, India; [email protected]
Objectives: To design the hardware architecture for contrast enhancement applications. Methods / Statistical Analysis: Image improvement is the technique utilized to make strides the visible illustration of an image. Histogram equalization is one of the most vital techniques of image improvement. Findings: The fundamental idea of histogram equalization is to re-map the gray degrees of the image. Indeed in spite of the fact that these approaches may improve the differentiate of a picture in a successful and proficient way, they ordinarily have a few downsides, like misfortune in data, commotion enhancement and over enhancement. In this extend a modern strategy which performs differentiate improvement may named as adjusted color protecting versatile gamma adjustment. The upgrade is gotten by a combination of altered histogram and its versatile gamma adjustment. Applications / Imporovement:The proposed strategy is analyzed for many differentiate test pictures. It works better than existing. In addition to that the VLSI architecture of the algorithm is developed for size 2×2 image using ALTERA QUARTUS II. The same architecture can be extended to entire image.
Keywords: Altera Quartus II, Minimum Mean Brightness Error , Over Enhancement
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