Image Enhancement using Frequency and Spatial Technique using Alpha Rooting with Bi – Histogram Equalization

Tilak Raj Patel, Avinash Dhole


Image Processing deals with analysis of image using different techniques for different purpose. Image Processing deals with the any action to change a image. Image processing has different methods like optical, analog and digital image processing. Digital image processing is a part of signal processing where we processes digital images using computer algorithms. The computer algorithms can be modified so that we can also change the appearance of the digital image easily and quickly. Many images such as medical images, remote sensing images, electron microscopy images and even real life photographic pictures, suffer from poor contrast. Therefore it is necessary to enhance the contrast. Today there are many image enhancement techniques are available. There are some drawbacks of these techniques. Adaptive histogram produces blurred and washed out images especially at the edges. Whereas alpha rooting produces over-graying enhanced images so to overcome all these drawbacks. In this proposed method we are combining the frequency domain and spatial domain techniques for image enhancement by using alpha rooting techniques with Bi-Histogram Equalization in order to enhance the quality of the image. There are many histogram equalization based methods have been introduced, many of these methods are relatively complicated in implementation, and most of Techniques require a high computational time. Bi - Histogram Equalization with Plateau Level (BHEPL) as one of the options for the system that requires a short processing time image enhancement.

Keywords: Image enhancement, spatial domain technique, Bi-Histogram Equalization technique, alpha rooting (key words)

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