Image Processing is processing of the image so as to reveal the inner details of the image for further investigation. With the advent of digital computers, Digital Image Processing has started revolutionizing the world with its diverse applications. The field of Image Processing continues, as it has since the early 1970â„¢s, on a path of dynamic growth in terms of popular and scientific interest and number of commercial applications. ....etc

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a) Implementation of image restoration.
b) Implementation of color optimization.
c) Image blur reduction using adaptive tonal correction
d) Image enhancement using histogram techniques
e) Implementation of visual cryptography using DH method.
f) Image segmentation and texture extraction for Number Recognition system.
g) Implementation of reverse watermarking system
h) Image denoising using DWT
i) Image denoising using ROF method.
j) Implementation of IMAGE steganography using LSB
k) JPEG compression using DCT.
l) Multi resolution w ....etc

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A
Paper Presentation
On
DIGITAL IMAGE PROCESSING

Abstract:
Over the past dozen years forensic and medical applications of technology first developed to record and transmit pictures from outer space have changed the way we see things here on earth, including Old English manuscripts. With their talents combined, an electronic camera designed for use with documents and a digital computer can now frequently enhance the legibility of formerly obscure or even invisible texts. The computer first converts the analogue ....etc

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Seminar report of concealed weapon detection using digital image processing ....etc

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please give the list of suggested project for MTECH with required material. ....etc

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hi
can anyone please suggest a good topic for for a project in digital image processing using matlab? ....etc

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pls send me Report and ppt of the above subject ....etc

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Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings
Abstract: An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this project. The cracks are detected by threshold the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing. F ....etc

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1. A synopsis of recent work in edge detection using the DWT
2. Automated estimation of the upper surface of the diaphragm in 3-D CT images
3. Adaptive bilateral filter for sharpness enhancement and noise removal
4. Phase shifting for Non-separable 2D Hear wavelets
5. Universal Impulse noise filter based on Genetic programming
6. Efficient Non-local mean for De-noising of Textural patterns
7. Dynamic De-noising of tracking sequences
8. Analysis and compensation of rolling shutter effect
9. Coherent multi-scale image processing using dua ....etc

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Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings

Abstract: An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this project. The cracks are detected by threshold the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing ....etc

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