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There are various in digital image processing for thesis and research.Here is the list of latest thesis and research topics in digital image processing:1.It starts with the capturing of an image by the sensor (such as a monochrome or color TV camera) and digitized.
Algorithms acquire useful information from images through statistics to provide superior quality images.
Image compression is a trending thesis topic in image processing.7.
Color Image Processing: Color image processing has been proved to be of great interest because of the significant increase in the use of digital images on the Internet.
It includes color modeling and processing in a digital domain etc.
Select either encrtyption mode: ENC or decryption mode: DEC !!!
Remote Sensing error(nargchk(1,3,nargin)); switch nargin case 1 mode = ‘ENC’; K = round(rand(8,7)); K(:,8) = mod(sum(K,2),2); % note these eight bits of key are never used in encryption K = reshape(K’,1,64); varargout = K; case 2 switch mode case ‘ENC’ K = round(rand(8,7)); K(:,8) = mod(sum(K,2),2); % note these eight bits of key are never used in encryption K = reshape(K’,1,64); varargout = K; case ‘DEC’ error(‘Key has to be provided in decryption mode (DEC)’) otherwise error(‘WRONG working mode!!!Image Acquisition: Image Acquisition is the first and important step of the digital image of processing.Its style is very simple just like being given an image which is already in digital form and it involves preprocessing such as scaling etc.In comparison to image enhancement which is subjective, image restoration is completely objective which makes the sense that restoration techniques are based on probabilistic or mathematical models of image degradation. The image information lost during blurring is restored through a reversal process.Image restoration removes any form of a blur, noise from images to produce a clean and original image. This process is different from the image enhancement method.Each component is the then studied separately through a resolution matching scale.Multi-resolution processing is a pyramid method used in image processing. Information from images can be extracted using a multi-resolution framework.6.Image Enhancement techniques are of two types: Spatial domain and Frequency domain.3.Image Restoration: Image restoration involves improving the appearance of an image.The color image processing is done as humans can perceive thousands of colors.There are two areas of color image processing full-color processing and pseudo color processing. Wavelets and Multi Resolution Processing: Wavelets act as a base for representing images in varying degrees of resolution.