Uniform Random Sampling from the Distortion Less Neighborhood of a Digital Image.

Date of Submission

December 2004

Date of Award

Winter 12-12-2005

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Applied Statistics Unit (ASU-Kolkata)


Sarkar, Palash (ASU-Kolkata; ISI)

Abstract (Summary of the Work)

•Abstract: In this paper, we present a new approach for watermark attacking scheme on a single watermarked image using uniform random sampling from the distortion less neighborhood of a digital image. Here, we create a neighborhood of an watermarked image and then we move from given watermarked image (source image) to the target image(destination image) which is as far as possible from the source image. Our goal is to sample uniformly the target image, which is visually as close to the source image from the said neighborhood.


ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843153

Control Number


Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.



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