Thesis on image denoising


Adaptive Fractal and Wavelet Image Denoising

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Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Welcome to Pakistan Research Repository Show full item record. Saadia, Ayesha. Among them ultrasound is the most widely used imaging technique due to its cost effectiveness and human health friendly characteristic.

Project/Dissertation Supervisor

Therefore, in medical image analysis image denoising has more clinical value since it helps the physicians to reach correct, reliable and speedy diagnosis by mitigating noise from the image. Image denoising also facilitate image segmentation, image fusion, object detection and target recognition. This research work focused on the development of reliable image denoising and enhancement techniques for echocardiographic images.

Image Denoising

It aimed to denoise an echocardiographic image without introducing noise distortion and loss of information. Fractional calculus has been used to efficiently mitigate noise of various levels from the echocardiographic image. Also rough set theory and fuzzy logic have been used to draw boundaries between image regions. Copyright and all rights therein are retained by authors or by other copyright holders.

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Image Denoising Projects

Tupin Feb. Nguyen Oct.

Debayle Feb. Kerr Nov. Bombrun Oct.

https://gaggtefreleback.tk

Pointwise Shape-Adaptive DCT Image Filtering and Signal-Dependent Noise Estimation

Doin Sept. Gousseau Oct. Melot Juil.

Deep Learning in Image Denoising

Louchet Sept. Even though GGMM is a powerful prior to combine with EPLL, the non-Gaussianity of its components presents major challenges to be applied to a computationally intensive process of image restoration.

Specifically, each patch has to undergo a patch classification step and a shrinkage step.

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Thesis on image denoising

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