Microarray Image Denoising

A total of four contributory works were developed during the overall tenure of the work taken up in this thesis and was explained in four separate chapters, viz., chapter 3, 4, 5 and 6 respectively. The four proposed works presented as four detailed chapters are: Contribution 1: Microarray Image Denoising Based on Markov Random Fields in the spatial domain.Contribution 2: Adaptive MinMax Threshold Algorithm for Microarray Image based De-noising methods which is based on the Non-sub-sampled Contourlet Transforms approach.Contribution 3: An image noise type identification scheme for microarray images utilizing deep learning.Contribution 4: Determination of Noise Type in Microarray Images using Deep Learning, based on Iterative Parameters Generated in a Denoising Scheme using Markov Random Field.