Muhammad Sajjad
Muhammad Sajjad
Associate Professor, Digital Image Processing Lab, Dept. of Comp. Sc., Islamia College Peshawar (A
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Action recognition in video sequences using deep bi-directional LSTM with CNN features
A Ullah, J Ahmad, K Muhammad, M Sajjad, SW Baik
IEEE Access 6, 1155-1166, 2017
A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image
K Muhammad, M Sajjad, I Mehmood, S Rho, SW Baik
Multimedia Tools and Applications 75 (22), 14867-14893, 2016
Multi-grade brain tumor classification using deep CNN with extensive data augmentation
M Sajjad, S Khan, K Muhammad, W Wu, A Ullah, SW Baik
Journal of computational science 30, 174-182, 2019
A Secure Method for Color Image Steganography using Gray-Level Modification and Multi-level Encryption.
K Muhammad, J Ahmad, H Farman, Z Jan, M Sajjad, SW Baik
TIIS 9 (5), 1938-1962, 2015
Image steganography using uncorrelated color space and its application for security of visual contents in online social networks
K Muhammad, M Sajjad, I Mehmood, S Rho, SW Baik
Future Generation Computer Systems 86, 951-960, 2018
CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method
MS Khan Muhammad, Jamil Ahmad, Naeem Ur Rehman, ZahoorJan
Multimedia Tools and Applications, 1-30., 2016
Raspberry Pi assisted face recognition framework for enhanced law-enforcement services in smart cities
M Sajjad, M Nasir, K Muhammad, S Khan, Z Jan, AK Sangaiah, ...
Future Generation Computer Systems 108, 995-1007, 2020
Leukocytes classification and segmentation in microscopic blood smear: a resource-aware healthcare service in smart cities
M Sajjad, S Khan, Z Jan, K Muhammad, H Moon, JT Kwak, S Rho, ...
IEEE Access 5, 3475-3489, 2016
Dual-level security based cyclic18 steganographic method and its application for secure transmission of keyframes during wireless capsule endoscopy
K Muhammad, M Sajjad, SW Baik
Journal of medical systems 40 (5), 114, 2016
Saliency-directed prioritization of visual data in wireless surveillance networks
I Mehmood, M Sajjad, W Ejaz, SW Baik
Information Fusion 24, 16-30, 2015
CNN-based anti-spoofing two-tier multi-factor authentication system
M Sajjad, S Khan, T Hussain, K Muhammad, AK Sangaiah, A Castiglione, ...
Pattern Recognition Letters 126, 123-131, 2019
Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices
IM Muhammad Sajjad, Khan Muhammad, Sung Wook Baik, Seungmin Rho, Zahoor Jan
Multimedia Tools and Applications, 1-18, 2016
Prioritization of brain MRI volumes using medical image perception model and tumor region segmentation
I Mehmood, N Ejaz, M Sajjad, SW Baik
Computers in biology and medicine 43 (10), 1471-1483, 2013
Video summarization based tele-endoscopy: a service to efficiently manage visual data generated during wireless capsule endoscopy procedure
I Mehmood, M Sajjad, SW Baik
Journal of medical systems 38 (9), 109, 2014
Efficient visual attention driven framework for key frames extraction from hysteroscopy videos
K Muhammad, M Sajjad, MY Lee, SW Baik
Biomedical Signal Processing and Control 33, 161-168, 2017
Saliency-weighted graphs for efficient visual content description and their applications in real-time image retrieval systems
J Ahmad, M Sajjad, I Mehmood, S Rho, SW Baik
Journal of Real-Time Image Processing 13 (3), 431-447, 2017
Mobile-cloud assisted video summarization framework for efficient management of remote sensing data generated by wireless capsule sensors
I Mehmood, M Sajjad, SW Baik
Sensors 14 (9), 17112-17145, 2014
Divide-and-conquer based summarization framework for extracting affective video content
I Mehmood, M Sajjad, S Rho, SW Baik
Neurocomputing 174, 393-403, 2016
Multi-kernel based adaptive interpolation for image super-resolution
M Sajjad, N Ejaz, SW Baik
Multimedia tools and applications 72 (3), 2063-2085, 2014
Visual saliency models for summarization of diagnostic hysteroscopy videos in healthcare systems
K Muhammad, J Ahmad, M Sajjad, SW Baik
SpringerPlus 5 (1), 1495, 2016
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