Affine Transformation Resistant Watermarking Based on Image Normalization

ABSTRACT

Geometric attacks are among the most challenging problems in present day watermarking. Such attacks are very simple to implement yet they can defeat most of the existing watermarking algorithms without causing serious perceptual image distortion. In this paper we propose a new public watermarking algorithm, which is robust to such attacks. This algorithm uses a normalized with respect to affine transformation representation of the imag ....etc

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Abstract
Edge detection is a basic and important subject in computer vision and image processing. In this paper we discuss several digital image processing techniques applied in edge feature extraction. Firstly, wavelet transform is used to remove noises from the image collected. Secondly, some edge detection operators such as Differential edge detection, Log edge detection, canny edge detection and Binary morphology are analyzed. And then according to the simulation results, the advantages and disadvantages of these edge detection op ....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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hi can someone guide me with the code in MATLAB for the topic Digital Image Processing Techniques for the Detection and Removal ... ....etc

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Presented by
Ioannis Giakoumis, Nikos Nikolaidis, Ioannis Pitas
Department of Informatics
Aristotle University of Thessaloniki


Abstract
An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this paper. The cracks are detected by thresholding the output of the morphological top-hat transform. Afterwards, the thin dark brush strokes which have been mis identified as cracks are removed using either a Median Radial Basis Function (MRBF) neural network on hue and saturation ....etc

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Image-to-word transformation based on dividing and vector quantizing images with words
Abstract:
We propose a method to make a relationship between images and words. We adopt two processes in the method, one is a process to uniformly divide each image into sub-images with key words, and the other is a process to carry out vector quantization of the sub-images. These processes lead to results which show that each sub-image can be correlated to a set of words each of which is selected from words assigned to whole images. Original aspec ....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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An image defined in the real world is considered to be a function of two real variables say x,y.

Before going to processing an image, it is converted into a digital form. Digitization includes sampling of image and quantization of sampled values.

After converting the image into bit information, processing is performed.

This processing technique may be,
Image enhancement
Image reconstruction
Image compression

Image enhancement refers to accentuation, or sharpening, of image features such as boundaries.

Image restoration is co ....etc

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