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Zohair Al-Ameen,Ghazali Sulong 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.7
Magnetic Resonance (MR) images provide physicians with vital information about different diseases of the human body. Thus, such images must have adequate clarity to become highly beneficial in the medical field. However, it is known that MR images have a poor dynamic range which significantly affects their visible quality due to the deficient brightness and contrast. In order to deliver evident results, a tuned single-scale Retinex algorithm is utilized in this study to ameliorate the dynamic range which eventually results in better brightness and contrast. The obtained results are compared with various algorithms that utilize contemporary, complex and renowned concepts. Moreover, many naturally-degraded MR images are used for experimental and comparable purposes. Finally, intensive experiments revealed the favorability of the adopted algorithm, in that it produced evident results without any visible flaws and outperformed the comparable algorithms in terms of visible quality.
Zohair Al-Ameen,Ghazali Sulong 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.10
Computed Tomography (CT) has remained an important component of medical imaging since its inception. In general, it is preferred to keep the radiation dose as low as possible during the CT examinations to prevent patients as well as operators from the dangerous side effects of these radiations, which in an extreme case may lead to cancer. However, reducing the radiation dose leads to undesirable degradations which not only reduce the visual quality of CT images, but also make such images difficult to interpret in clinical routines. The most common degradations in low-dose CT images include blur, noise and low-contrast. Over the recent years, considerable research has been made to process these degradations. However, they still remain open for research due to the wide variety of challenges they offer. In this article, the causing factors of such degradations are addressed adequately. Furthermore, the challenges that face the processing of these degradations are mentioned in detail. Finally, this article is intended for researchers who are approaching this topic to understand the aforesaid issues extensively.
Detection Copy-Move Forgery in Image Via Quaternion Polar Harmonic Transforms
( Salam A. Thajeel ),( Ali Shakir Mahmood ),( Waleed Rasheed Humood ),( Ghazali Sulong ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.8
Copy-move forgery (CMF) in digital images is a detrimental tampering of artefacts that requires precise detection and analysis. CMF is performed by copying and pasting a part of an image into other portions of it. Despite several efforts to detect CMF, accurate identification of noise, blur and rotated region-mediated forged image areas is still difficult. A novel algorithm is developed on the basis of quaternion polar complex exponential transform (QPCET) to detect CMF and is conducted involving a few steps. Firstly, the suspicious image is divided into overlapping blocks. Secondly, invariant features for each block are extracted using QPCET. Thirdly, the duplicated image blocks are determined using k-dimensional tree (kd-tree) block matching. Lastly, a new technique is introduced to reduce the flat region-mediated false matches. Experiments are performed on numerous images selected from the CoMoFoD database. MATLAB 2017b is used to employ the proposed method. Metrics such as correct and false detection ratios are utilised to evaluate the performance of the proposed CMF detection method. Experimental results demonstrate the precise and efficient CMF detection capacity of the proposed approach even under image distortion including rotation, scaling, additive noise, blurring, brightness, colour reduction and JPEG compression. Furthermore, our method can solve the false match problem and outperform existing ones in terms of precision and false positive rate. The proposed approach may serve as a basis for accurate digital image forensic investigations.
Low-Complexity Technique to Improve Detectable Motion of Moving Objects in a Sequence of Images
Zohair Al-Ameen,Shamil Al-Ameen,Roua Al-Taie,Ghazali Sulong 중앙대학교 영상콘텐츠융합연구소 2015 TechArt :Journal of Arts and Imaging Science Vol.2 No.4
The use of low-intricacy techniques for fast and efficient detection of moving objects is considered quite challenging because it often leads to undesirable results. In this study, we propose an innovative technique that improves the motion detection process for moving objects. The proposed technique employs only a few distinct steps to obtain desirable results. First, the intensity difference between every two images is determined by an ameliorated image-difference detection method to identify the eminent regions of movement. Second, an abridged grayscale conversion method is proposed to provide more detailed information about the identified motion. Third, a two-dimensional order-statistic filtering process is applied to enhance the details and contours of the detected motion. Finally, a proper post-processing method is used to reduce the number of unwanted artifacts and refine the overall quality of the output. The results of our study revealed the efficiency of the proposed technique. Specifically, it performed extremely well in detecting the motion of objects and enhanced their displayed regions of movement.