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Browsing Departmental Publications (BUIC) by Author "Imran Fareed Nizami"
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Imran Fareed Nizami; Muhammad Majid; Khawar Khurshid
(Bahria University Islamabad Campus, 2017)
B lind Image Quality Assessment (BIQA) has received considerable importance with the increase in the use of multimedia in our daily lives. The main objective of BIQA is to predict the quality of distorted images without ...
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Imran Fareed Nizami; Muhammad Majid; Khawar Khurshid
(Bahria University Islamabad Campus, 2018)
Images play an essential part in our daily lives and the performance of various imaging applications is dependent on the user’s quality of experience. No-reference image quality assessment (NR-IQA) has gained importance ...
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Imran Fareed Nizami; Muhammad Majid; Hammad Afzal
(Bahria University Islamabad Campus, 2017)
Blind image quality assessment (BIQA) is a challenging task in real-world problems due to unavailability of reference images. The performance of BIQA techniques is highly dependent on features used to assess the image ...
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Imran Fareed Nizami; Amer Bilal Mann; Khadija Maqbool
(Bahria University Islamabad Campus, 2018)
This work presents a Radon transform analysis of plane wave diffraction by an impedance step, such that the planes and the step have different impedances. Application of Radon transform on diffraction analysis is of vital ...
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Zahid Tufail; Khawar Khurshid; Ahmad Salman; Imran Fareed Nizami; Khurram Khurshid; Byeungwoo Jeon
(Bahria University Islamabad Campus, 2018)
Environmental factors such as fog and haze affect the image quality and make it unsuitable for automated systems, such as intelligent vehicles, surveillance, and outdoor object recognition, which require images with clear ...
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Imran Fareed Nizami; Muhammad Majid; Khawar Khurshid
(Bahria University Islamabad Campus, 2018)
No reference image quality assessment (NR-IQA) is a challenging task since reference images are usually unavailable in real world scenarios. The performance of NR-IQA techniques is vastly dependent on the features utilized ...
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Muhammad Zeeshan; Muhammad Majid; Imran Fareed Nizami; Syed Muhammad Anwar; Ikram Ud Din; Muhammad Khurram Khan
(Bahria University Islamabad Campus, 2018)
Visual saliency models aim to detect important and eye catching portions in a scene by exploiting human visual system characteristics. The effectiveness of visual saliency models is evaluated by comparing saliency maps ...