Imran Fareed Nizami

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 19

Top Topics

Selection Algorithm

Visual Saliency

Quality Assessment

Feature Selection

Top Venues

Multim. Tools Appl.

Comput. Biol. Medicine

Publications

Mobeen Ur Rehman, Jihyoung Ryu, Imran Fareed Nizami, Kil To Chong
RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames. Comput. Biol. Medicine 152 (2023)
Mobeen Ur Rehman, Imran Fareed Nizami, Ali Ahsan, Kil To Chong
Machine Learning Based Image Forgery Detection Using Natural Scene Statistics. eIT (2023)
Shakeel Zafar, Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Ji-Hyoung Ryu
NISQE: Non-Intrusive Speech Quality Evaluator Based on Natural Statistics of Mean Subtracted Contrast Normalized Coefficients of Spectrogram. Sensors 23 (12) (2023)
Jihyoung Ryu, Mobeen Ur Rehman, Imran Fareed Nizami, Kil To Chong
SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation. Comput. Biol. Medicine 163 (2023)
Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid
Correction to: Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture. Multim. Tools Appl. 81 (18) (2022)
Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid
Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture. Multim. Tools Appl. 81 (18) (2022)
Mobeen Ur Rehman, Imran Fareed Nizami, Muhammad Majid
DeepRPN-BIQA: Deep architectures with region proposal network for natural-scene and screen-content blind image quality assessment. Displays 71 (2022)
Malik Waqar Aziz, Imran Fareed Nizami, Muhammad Majid
Blind Quality Assessment of Super-Resolution Images using Relative Gradient Statistics of Salient and Non-salient Objects. ICIT (2021)
Imran Fareed Nizami, Mehreen Akhtar, Asad Waqar, Amer Bilal Mann, Muhammad Majid
Multiply distorted image quality assessment based on feature level fusion and optimal feature selection. Multim. Tools Appl. 80 (14) (2021)
Naima Aamir, Junaid Mir, Imran Fareed Nizami, Furqan Shaukat, Muhammad Majid
HDR-BVQM: High dynamic range blind video quality model. Multim. Tools Appl. 80 (18) (2021)
Imran Fareed Nizami, Muhammad Majid, Mobeen Ur Rehman, Syed Muhammad Anwar, Ammara Nasim, Khawar Khurshid
No-reference image quality assessment using bag-of-features with feature selection. Multim. Tools Appl. 79 (11-12) (2020)
Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Syed Muhammad Anwar
Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform. Multim. Tools Appl. 79 (35-36) (2020)
Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi R. Alnowami
EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding. IEEE Access 8 (2020)
Maham Khan, Imran Fareed Nizami, Muhammad Majid
No-reference image quality assessment using gradient magnitude and wiener filtered wavelet features. Multim. Tools Appl. 78 (11) (2019)
Imran Fareed Nizami, Muhammad Majid, Waleed Manzoor, Khawar Khurshid, Byeungwoo Jeon
Distortion-specific feature selection algorithm for universal blind image quality assessment. EURASIP J. Image Video Process. 2019 (2019)
Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid
Feature selection algorithm for no-reference image quality assessment using natural scene statistics. Turkish J. Electr. Eng. Comput. Sci. 26 (5) (2018)
Muhammad Zeeshan, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Ikram Ud Din, Muhammad Khurram Khan
A Newly Developed Ground Truth Dataset for Visual Saliency in Videos. IEEE Access 6 (2018)
Zahid Tufail, Khawar Khurshid, Ahmad Salman, Imran Fareed Nizami, Khurram Khurshid, Byeungwoo Jeon
Improved Dark Channel Prior for Image Defogging Using RGB and YCbCr Color Space. IEEE Access 6 (2018)
Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid
New feature selection algorithms for no-reference image quality assessment. Appl. Intell. 48 (10) (2018)
Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim
Automatic gait recognition based on probabilistic approach. Int. J. Imaging Syst. Technol. 20 (4) (2010)
Heesung Lee, Sungjun Hong, Imran Fareed Nizami, Euntai Kim
An efficient design of a nearest neighbor classifier for various-scale problems. Pattern Recognit. Lett. 31 (9) (2010)