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.Morphological Processing: Morphological processing involves extracting tools of image components which are further used in the representation and description of shape.
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.
In full-color processing, the image is processed in full colors while in pseudo color processing the grayscale images are converted to colored images. Images subdivision means dividing images into smaller regions for data compression and for pyramidal representation.
Wavelet is a mathematical function using which the data is cut into different components each having a different frequency.
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.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.Image Enhancement techniques are of two types: Spatial domain and Frequency domain.3.Image Restoration: Image restoration involves improving the appearance of an image.Many algorithms have been designed for the purpose of image enhancement in image processing to change an image’s contrast, brightness, and various other such things.Image Enhancement aims to change the human perception of the images. 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!!!Deconvolution technique is used and is performed in the frequency domain.The main defects that degrade an image are restored here.4.