Salah Ameer

Work place: Ontario Colleges, Canada



Research Interests: Computer Vision, Computer Graphics and Visualization, Image Processing


Dr. Salah Ameer is an adjunct professor currently affiliated with both Humber and Conestoga Colleges, ON, Canada. He got his PhD in 2009 from University of Waterloo with thesis topic in image compression. Dr. Ameer has a long history in academia teaching diverse subjects in Electronics and Computer Engineering. He also worked with princess Margaret hospital on tumor detection. His vast publication record can be freely accessed from his ResearchGate account. His interest is generally in the image processing/computer vision area with current emphasis on image segmentation

Author Articles
Proving Riemann Hypothesis through the Derivative of Zeta Reflection

By Salah Ameer

DOI:, Pub. Date: 8 Dec. 2021

A novel proof is presented in this work indicating that all non-trivial zeros of the zeta function has a real part equal to ½. As no proof has been validated yet, this work was successful in introducing a proof through the use of elementary calculus theorems. A second version of the proof was also shown where a more advanced series analysis (e.g. Fourier series) is used.

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EQ: An Eigen Image Quality Assessment based on the Complement Feature

By Salah Ameer

DOI:, Pub. Date: 8 Dec. 2020

An Eigen formulation is proposed for image quality assessment IQA. Each block is represented by an array composed of feature vectors (intensity/color at this stage). After attaching the complement feature(s), the auto-correlation matrix is computed for each block. The proposed full reference FR-IQA is simply the deviation of the Eigen values of the degraded image from that of the original image. Interestingly, the second largest Eigen value was sufficient to perform this comparison. Results and comparisons with SSIM and GMSD schemes on different types of degradation are demonstrated to show the effectiveness of the proposed schemes. Using TID2013 database, the proposed scheme outperforms SSIM. In addition, the proposed schemes is closer to the MOS score compared to GMSD; however, the correlation with MOS is inferior as illustrated in the tables. These results are concluded from the average behaviour on all the images using all degradations (with 5 levels) on the database.

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