PhD Topics in Image Processing - Thesis and Code


image processing thesis

Image Processing. The area of interest of this project is Image Processing. In this project the data of an image is used in another image as some sort of digital signature in order to prevent anyone else from stealing the information. Sep 09,  · What are the latest research topics in Image Processing nowadays? I want information about the latest research topics in Image processing as i . Forensic Image Processing. Content based Image Retreival: Thesis Topics for Image Processing. Search analyzes contents according to the image not in the meta data such as keywords, tags or description associated with the image; Contents are may be in the form of shape, color and texture. Recent CBIR issues: Thesis Topics for Image Processing.

Image Processing - Free Information Technology Essay - Essay UK

The area of interest of image processing thesis project is Image Processing. In this project the data of an image is used in another image as some sort of digital signature in order to prevent anyone else from stealing the information.

In this one image is hidden behind another image in such a way that there is no visual evidence of it, yet when checked it shows the watermark. Chapter 2: Literature Survey The project, entitled 'Digital image watermarking using MATLAB' is depends on ' data hiding using lsb watermarking' technique and brief introduction toward the techniques and its literature are as under.

Due to this ever increasing use its easy for a perpetrator to make its copy or pirate it. There are many types of info and data like digital imagedigital audio and digital video but I image processing thesis be focusing on digital images in this project. A pattern of bits inserted into an image of any sort in order to mark it so that it could be identified for copyright protection so that the rights of the authors can be protected is called a watermark, image processing thesis.

It is derived from the very faint visible marks on an image. Unlike printed watermarks which are slightly visible, digital watermarks are made in such a way that they are completely invisible, for that to happen the bits must be placed in such a way that it cannot be image processing thesis. Digital Watermarking works by concealing information within digital data, such that it cannot be detected without knowing the way it was encrypted in the first place.

Watermarking is solution for this problem. Data is becoming easily available using internet. These connected networks allow cross-references between databases. Now multimedia is allowing different applications to mix sound, images, and video and to interact with large amounts of information. The job is to deliver audio, image and video data in electronic form to customers, and broadcast television companies and major corporations are converting their content from analog to digital form, image processing thesis.

This movement from traditional content, such as paper documents, analogue recordings, to digital media is due to several advantages of digital media over the traditional media.

Digital Watermarking Techniques are becoming popular, especially for adding undetectable identifying marks, such as author or copyright information. Because of this use, watermarking techniques are often evaluated based on their invisibility, recoverability, and robustness. Our goal was to implement watermarking method and evaluate their susceptibility to attack by various image processing techniques.

In the coming pages we will see, Alice creates an original image and watermarks it before passing it to Bob. If Bob steals the image and sells copies to other people Alice can extract her watermark from the image proving her copyright to it. The catch here is that Alice will only be able to prove her copyright of the image if Bob hasn't managed to modify the image such that the watermark is damaged enough to be undetectable or added his own watermark such that it is impossible to discover which watermark was embedded first.

If there are only little changes in such a way that they are barely discernible by the naked eyes such as minor modifications in the colour values of an image are subconsciously corrected by the eye, so that the observer does not notice any difference. A secret key string or integer produces a random number which determines the particular pixels, which will be protected by the watermarking.

The watermark is embedded redundantly over the whole image, so that every part of the image is protected. This particular type of watermarking is executed in this project. One way of doing this is by 'Patchwork', image processing thesis.

This technique uses a random number generator to select n pairs of pixels and slightly increases or decrease their luminosity brightness level. Thus the contrast of this set is increased without any change in the average luminosity of the image, image processing thesis. Although the amount of secret information has no direct impact on the visual fidelity of the image or the robustness of the watermark, image processing thesis, it plays an important role in the security of the system.

The key space, that is the range of all possible values of the secret information, x must be large enough to make exhaustive search attacks impossible. In the process of extracting the watermark, the secret key is used to identify the manipulated pixels and finally to decode the watermark.

Another way is defining the number of pixels in which the watermark image pixels are added to the base image without showing any discernible difference among the two. The quality of digital watermarks can be judged in two ways; firstly it must be able to resist intentional and unintentional attacks and secondly the embedded watermark must not detract from the quality of the image.

The higher the resistance of a watermark against attacks, the higher the risk of the quality of the image being reduced, and the greater the chance of obvious visual artefacts being created. One other way is to rotate the image by a certain degree and then align inti it a cropped watermark which makes it very hard to detect. We too have used the JPEG compression technique n his very project.

Digital watermarking methods are often resilient only to uniform scaling. It is an invisible watermarking technique that changes the LSB's of the original image by the MSB's of the watermark image. A bitmap image 'A' will be selected from the set of standard test images. Let this be the base image on which the watermark will be added. A bitmap image 'B' will be selected from the set of standard test images. This will be the watermark image which will be added to the base image processing thesis. The most significant bit henceforth will be mentioned as MSB, of watermark image 'B' will be read and these will be written on the least significant bit, henceforth will be mentioned as LSB, of base image 'A', image processing thesis.

Thus, 'A' will be watermarked with 'B' resulting in a combined image 'C'. The technique used will be LSB technique which is a form of spatial domain technique. This technique is used to add an invisible and visible watermark in the image. By changing the number of bits from 3 to 5 we can do the aforementioned. The reason for making them image processing thesis, is to provide space for the MSB of watermark to be stored.

The bits of both the images, image processing thesis. The added image gives us the watermarked signal. The final image obtained. First, the generated code will ask the user for the images to be used as base image and watermark image.

The user will then enter the name of the images, both the base and the watermark, with their extension. Both these images will be read and stored by the tool, which is 'Matlab' in our case. The program will then change the image size to double, image processing thesis. This is done so as to tell the software that we need to give double data-type space for the images. The reason for doing so, is to provide decimal storage for the subsequent additional operations which will be performed on the base and watermark image.

The next step is to give the number of MSB's of the watermark image which will be used to exchange the LSB's of the base image processing thesis. Once we provides this, the watermark signal bits are shifted to the right by the specified bits, image processing thesis.

The next step is the number of LSB's of the base image are made zero to accept the bits of the watermark image. These two images with the defined bit pattern are added. The combined image we get will be 5 bits of the base image and the last 3 bits are the watermark image and it will be the output watermarked image. Another problem was the dimensions of the two imagesboth the images must have the same dimensions in order for the program to work.

To overcome that i cropped the image to make both the images of the same dimensions so that they can be added easily. Chapter 5: Conclusion 5. One being invisible image processing thesis the other being visible.

Noise is added to the images as a form of attack. The images are compressed and decompressed as another form of attack. The noise is later removed and image processing thesis base and watermark images are separated from the watermarked image.

Chapter 6 : References [1]G. Vidyasagar, S. Han and E. Dillon, X. Chang, pp. Dugelay and S. Katzenbeisser et al, Eds. Northwood, MA: Artec House, pp. Khan and A. Mirza, 'Genetic perceptual shaping: utilizing cover image and conceivable attack information during watermark embedding', image processing thesis.

Fusion, Vol. Cox, M. Miller, J. Linnartz and T. Parhi and T. This Information Technology essay was submitted to us by a student in order to help you with your studies. Essay UK, image processing thesis, Image Processing. If you are the original image processing thesis of this content and no longer wish to have it published on our website then please click on the link below to request removal:, image processing thesis. Essay UK offers students a complete range of free resources for undergraduate, image processing thesis, post graduate, PhD and professional courses.

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image processing thesis


Sep 09,  · What are the latest research topics in Image Processing nowadays? I want information about the latest research topics in Image processing as i . Image processing is a form of signal processing. Image Processing Thesis involves processing or altering an existing in a desired manner. Image processing is a form of signal processing. The input is an image which is to be processed by the set of characteristics or parameters related to the image. Generally, image processing concepts are. Image Processing. The area of interest of this project is Image Processing. In this project the data of an image is used in another image as some sort of digital signature in order to prevent anyone else from stealing the information.