Imran Fareed Nizami

According to our database, Imran Fareed Nizami authored at least 25 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset.

Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer Gilani, Husam A. Neamah

IEEE Access, 2025

PROPER: Personality Recognition Based on Public Speaking Using Electroencephalography Recordings.

Muhammad Majid, Amna Rauf Butt, Imran Fareed Nizami, Aamir Arsalan, Jihyoung Ryu

IEEE Access, 2025

Role of Visual Saliency in Video Quality Assessments.

Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

IEEE Access, 2025

2024

IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment.

Mobeen Ur Rehman, Imran Fareed Nizami, Farman Ullah, Irfan Hussain

IEEE Access, 2024

2023

SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.

Jihyoung Ryu, Mobeen Ur Rehman, Imran Fareed Nizami, Kil To Chong

Comput. Biol. Medicine, September, 2023

NISQE: Non-Intrusive Speech Quality Evaluator Based on Natural Statistics of Mean Subtracted Contrast Normalized Coefficients of Spectrogram.

Shakeel Zafar, Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Jihyoung Ryu

Sensors, 2023

RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames.

Mobeen Ur Rehman, Jihyoung Ryu, Imran Fareed Nizami, Kil To Chong

Comput. Biol. Medicine, 2023

Machine Learning Based Image Forgery Detection Using Natural Scene Statistics.

Mobeen Ur Rehman, Imran Fareed Nizami, Ali Ahsan, Kil To Chong

Proceedings of the IEEE International Conference on Electro Information Technology, 2023

2022

Correction to: Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture.

Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid

Multim. Tools Appl., 2022

Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture.

Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid

Multim. Tools Appl., 2022

DeepRPN-BIQA: Deep architectures with region proposal network for natural-scene and screen-content blind image quality assessment.

Mobeen Ur Rehman, Imran Fareed Nizami, Muhammad Majid

Displays, 2022

2021

Multiply distorted image quality assessment based on feature level fusion and optimal feature selection.

Imran Fareed Nizami, Mehreen Akhtar, Asad Waqar, Amer Bilal Mann, Muhammad Majid

Multim. Tools Appl., 2021

HDR-BVQM: High dynamic range blind video quality model.

Naima Aamir, Junaid Mir, Imran Fareed Nizami, Furqan Shaukat, Muhammad Majid

Multim. Tools Appl., 2021

Blind Quality Assessment of Super-Resolution Images using Relative Gradient Statistics of Salient and Non-salient Objects.

Malik Waqar Aziz, Imran Fareed Nizami, Muhammad Majid

Proceedings of the International Conference on Information Technology, 2021

2020

Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform.

Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Syed Muhammad Anwar

Multim. Tools Appl., 2020

No-reference image quality assessment using bag-of-features with feature selection.

Imran Fareed Nizami, Muhammad Majid, Mobeen Ur Rehman, Syed Muhammad Anwar, Ammara Nasim, Khawar Khurshid

Multim. Tools Appl., 2020

EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding.

Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi R. Alnowami

IEEE Access, 2020

2019

No-reference image quality assessment using gradient magnitude and wiener filtered wavelet features.

Maham Khan, Imran Fareed Nizami, Muhammad Majid

Multim. Tools Appl., 2019

Distortion-specific feature selection algorithm for universal blind image quality assessment.

Imran Fareed Nizami, Muhammad Majid, Waleed Manzoor, Khawar Khurshid, Byeungwoo Jeon

EURASIP J. Image Video Process., 2019

2018

Feature selection algorithm for no-reference image quality assessment using natural scene statistics.

Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid

Turkish J. Electr. Eng. Comput. Sci., 2018

New feature selection algorithms for no-reference image quality assessment.

Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid

Appl. Intell., 2018

A Newly Developed Ground Truth Dataset for Visual Saliency in Videos.

Muhammad Zeeshan, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Ikram Ud Din, Muhammad Khurram Khan

IEEE Access, 2018

Improved Dark Channel Prior for Image Defogging Using RGB and YCbCr Color Space.

Zahid Tufail, Khawar Khurshid, Ahmad Salman, Imran Fareed Nizami, Khurram Khurshid, Byeungwoo Jeon

IEEE Access, 2018

2010

An efficient design of a nearest neighbor classifier for various-scale problems.

Heesung Lee, Sungjun Hong, Imran Fareed Nizami, Euntai Kim

Pattern Recognit. Lett., 2010

Automatic gait recognition based on probabilistic approach.

Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim

Int. J. Imaging Syst. Technol., 2010