Matlab Project on Lossless Image Compression Using Image Processsing

ABSTRACT             The lossless compression is that allows the original data to be perfectly reconstructed from the compressed data. Lossless compression programs do two things in sequence: the first step generates a statistical model for the input...

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Image Watermarking Based On DWT, DCT, BFO and PBFO Matlab Project with Source Code

ABSTRACT           The authenticity & copyright protection are two major problems in handling digital multimedia. The Image watermarking is most popular method for copyright protection by discrete Wavelet Transform (DWT) which performs 2 Level Decomposition...

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Matlab Project for Face Recognition Using Image Processing Full Source Code || IEEE Based Project

ABSTRACT              Face recognition from image is a popular topic inbiometrics research. Many public places usually have surveillance cameras for image capture and these cameras have their significant value for security purpose. It is widely...

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Matlab Project Currency Recognition Using Image Processing full Source Code

ABSTRACT                 The Reserve Bank is the one which issue bank notes in India. Reserve Bank, changes the design of bank notes from time to time. Reserve bank uses several techniques to detect fake currency. Common people faces many...

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Matlab Project Character Recognition from Text Images Using Image Processing Full Source Code || IEEE Based Project

ABSTRACT                  Optical character recognition (OCR) is becoming a powerful tool in the field of Character Recognition, now a days. In the existing globalized environment, OCR can play a vital role in different application...

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Fruit Disease Detection and Classification Using Image Processing Matlab Project with Source Code || IEEE Based Project

ABSTRACT             Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. In this paper, a solution for the detection and classification of fruit diseases is proposed and experimentally...

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