Journal of Computer & Information Technology

Image Enhancement : A Pre-Processing Technique

Author:
Ms. Ketki R. Ingol1 and V K. Shandilya2
Affiliation:

1M.E. SSPM's COET Amravati India

2AP SSPM's COET Amravati India

Keyword:
histogram equalization, grey values, dft, Fourier transform.
Issue Date:
April 2010
Abstract:
An image can be synthesized from a micrograph of various cell organelles by assigning a light intensity value to each cell organelle. The sensor signal is "digitized"— converted to an array of numerical values, each value representing the light intensity of a small area of the cell. Digital image processing is an area characterized by the need for extensive experimental work to establish the viability of proposed solutions to a given problem. Image processing modifies pictures to improve them, extract information, and change their structure. Image enhancement improves the quality (clarity) of images for human viewing. Removing blurring and noise, increasing contrast, and revealing details are examples of enhancement operations. For example, an image might be taken of an endothelial cell, which might be of low contrast and somewhat blurred. Reducing the noise and blurring effect and increasing the contrast range could enhance the image. The original image might have areas of very high and very low intensity, which mask details. 
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:

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