Digital Image Processing

Jemily Elsa Rajan ¹, V. Karunakaran ¹

Affiliations
1 Department of Computer Science and Engineering, Karunya University, Coimbatore, IN

Abstract

Image denoising is essential for all image processing applications. The removal of all the noises from the corrupted image is the image denoising. The proposed method removes all the salt and pepper noises from the compound images. Compound images are images which contain a combination of natural images (photos), text, and graphics. The method uses a rotation operator, a noise filter, and a fuzzy system. In this, a noisy compound image is applied to the rotation operator by rotating the image at an integer multiples of 900. The output of the operator is applied to the noise filter which filters the noises in the image and then it is applied to a fuzzy system, which enhances the image. The proposed method efficiently remove all the salt and pepper noises from the compound image and it also improves the performances of the filters and the noise suppression ability of the filters.

Keywords

Image Denoising, Image Enhancement, Image Rotation, Non Linear Filters, Fuzzy Systems.

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Jemily Elsa Rajan ¹, V. Karunakaran ¹

Affiliations
1 Department of Computer Science and Engineering, Karunya University, Coimbatore, IN

Abstract

Image Processing is any form of signal processing for which the input is an image, such as a photograph or a video frame and the output of image processing may be either an image or a set of characteristics or parameters related to the image. Noise elimination is very essential for all image processing applications. Any noise in the image can result in serious errors. Impulsive noise appears as a sprinkle of dark and bright spots. Transmission errors, corrupted pixel elements in the camera sensors, or faulty memory locations can cause impulsive noise. The noise in the image data severely degrades the performances of further image processing operations (such as edge detection, image segmentation, object recognition, etc.). Therefore, it is of vital importance to restore the corruptions in the image data caused by the noise. There are several techniques used for the removal of impulse noise. In this, some of the techniques used for the removal of impulse noise is presented.

Keywords

Image Denoising, Image Processing, Image Rotation, PSM Filter, Fuzzy System.

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