Color Image Denoising Based on Framelet Transforms - Nahar, Ali Kareem
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Book presents Framelet Transform modern technique and low complex to reduce noise in the colorful and an ordinary image, calculate the numerical examples to conversion reference one-dimensional and image two-dimensional of and can calculate for 3 dimensions. Image denoising to use two thresholding methods Hard and Soft. The choice of thresholding method depends on the application. It was the application of different types of noise in images, such as The Gaussian Noise, The Exponential Noise, The Uniform Noise, The Speckle Noise, The Slat and Pepper Noise, The Poisson Noise and handling. And…mehr

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Produktbeschreibung
Book presents Framelet Transform modern technique and low complex to reduce noise in the colorful and an ordinary image, calculate the numerical examples to conversion reference one-dimensional and image two-dimensional of and can calculate for 3 dimensions. Image denoising to use two thresholding methods Hard and Soft. The choice of thresholding method depends on the application. It was the application of different types of noise in images, such as The Gaussian Noise, The Exponential Noise, The Uniform Noise, The Speckle Noise, The Slat and Pepper Noise, The Poisson Noise and handling. And achieved a wonderful and encouraging results to development and application of the types of other images such as space, 3-dimensional and medical images.
Autorenporträt
Lecturer in Electrical Engineering Department, University of Technology, Iraq. Ph.D. student communication engineering in Electric and Electronic Faculty, University Malaysia Pahang. Education: B.Sc. Electric Engineering, Master Electronic Engineering and Ph.D. student in Communication Engineering.