Mansour Jamzad

Sharif University of Technology, Computer Engineering, Faculty Member

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Gualtiero Piccinini

University of Missouri-Columbia

Paul Tobin

Dublin Institute of Technology

Jasni Mohamad Zain

Universiti Teknologi Mara

IJERA Journal

International Journal of Engineering Research and Applications (IJERA)

Monish Chatterjee

University of Dayton

Dr. Shadab Alam

Jazan University

Olayemi M Olaniyi

National Open University of Nigeria

Marwan Bikdash

North Carolina Agricultural and Technical State University

Ferhat Bozkurt

Ataturk University

Kasun Jinasena

University of Sri Jayewardenepura

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Papers by Mansour Jamzad

Heterogeneous domain adaptation using previously learned classifier for object detection problem

2014 IEEE International Conference on Image Processing (ICIP), 2014

Two methods for medical image compression

Frontiers of Medical & Biological Engineering

Depending on the purpose for which a medical image is taken, some areas of it contain more clinic... more Depending on the purpose for which a medical image is taken, some areas of it contain more clinical information than others. These areas are usually considered as regions of interest (ROI). The area outside the ROI is either the background or contains some clinical information with relative importance. In this paper we introduce two preprocessing and error-free compression routines. The first preprocessing routine, if applied to X-ray images, could result in a reconstructed image with a controllable amount of deterioration in its various areas. The second preprocessing routine is applied to X-ray CT, MR and radionuclide images prior to the compression. Its aim is to automatically detect the ROI and neglect the background. The background is replaced by an optional gray level when these images are being reconstructed. These routines were applied to a variety of medical images and relatively good compression ratios were obtained.

Feature Watermarking in Digital Documents For Retrieval and Authentication

The wide proliferation of digital media, such as digital images has aroused great interest for co... more The wide proliferation of digital media, such as digital images has aroused great interest for copyright protection, annotation and authentication. In this paper, we have used invisible watermarking as a means for authentication of two-color text documents. After detecting important features of the document for example the name in an ID card, they are compressed and embedded in the document image as a watermark. Two variations have been made to the CPT watermarking algorithm and the improved scheme has been used as our watermarking method. This scheme uses a secret matrix key and therefore is completely secure. It also has a high capacity and does not degrade the quality of the host image. As we use a lose less method to compact each important feature and embed the coded feature many times in the document image, the implemented system is able to detect image altercations in these features and can completely retrieve them, even if a hacker has changed them in that document. Therefore, we can provide a valid authentication for the retrieved document.

Mansour Jamzad

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