An Approach To Text Extraction From Complex Degraded Scene
: In the image, processing filtering is playing a vital role. For the living organism, an image can be regenerated after the removal of noise from the complex degraded image. Image quality can be degraded by two factors mainly by the environment and transmission medium. The main motivation of this paper is to make an image free from the noise and quality enhancement of the complex degraded image. Complex degraded image is an image that is affected by different kinds of noise like Brownian Noise (Fractal Noise) Rayleigh Noise, Gamma Noise, Poisson-Gaussian Noise, salt and pepper noise, random valued impulse noise, speckle noise, Gaussian noise, and Structured Noise. The main aim of this paper is the study of different types of filter techniques used in denoising the complex degraded image. Different type of filter is used to remove noise from a complex degraded image. The main motivation of the paper is the latest application of the automatic text extraction process followed by text recognition is receiving huge demand.
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