Digital Image Processing Based Noise Reduction Analysis of Digital Dental Xray Image Using MATLAB

K Kavitha Bharathi, S Muruganand, Azha Periasamy

Abstract


This paper work based on Quality improvement analysis of digital dental X-ray image.   If it is one of the active research areas in Digital Image Processing (DIP), it is removal of noise from images. Taking this into consideration this paper presents a filtering technique to efficiently suppress the noise in the human dental Digital X-ray images of real database from hospitals. During the removal of noise in an image here using various filters in image processing techniques: The image is affected by several noisy pixels with

 

(1) Impulse noise,

(2) Speckle noise and

(3) Poisson noise

.

Many different filtering techniques have been proposed for the removal of such noises from digital images. The proposed project is to reduce noise in digital dental digital X-ray image to diagnosis the dental disorder accurately by improving the quality of the image. The obtained image can be processed by using MATLAB. The result shows the proposed method proves better than the existing method by using PSNR.

Keywords


Dental Image, Median Filter, Salt and Pepper Noise, Speckle Noise, PSNR value.

References


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