Design and Functional Implementation of Image Processing Algorithms - Jayaswal, Anupkumar;Dembrani, Mahesh
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Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This thesis reviews the existing denoising algorithms, such as filtering approach, wavelet based approach, and multifractal approach, and performs their comparative study. Different noise models including additive and multiplicative types are used.…mehr

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Produktbeschreibung
Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This thesis reviews the existing denoising algorithms, such as filtering approach, wavelet based approach, and multifractal approach, and performs their comparative study. Different noise models including additive and multiplicative types are used.
Autorenporträt
Anupkumar Jayaswal is working as Assistant Professor in Engineering College. His area of interest includes Signal and Image Processing. Author has published papers and books in reputed conferences and journals.