An adaptive image sharpening scheme based on local intensity variations. - Neeraj Kumar Singh 005; Arun Kumar Sunaniya (Signal Image Video Process., 2017)

Dynamic background modeling using intensity and orientation distribution of video sequence. - Rhittwikraj Moudgollya; Abhishek Midya; Arun Kumar Sunaniya; Jayasree Chakraborty (Multim. Tools Appl., 2019)

Parallel Hardware Implementation of Efficient Embedding Bit Rate Control Based Contrast Mapping Algorithm for Reversible Invisible Watermarking. - Subhajit Das 001; Arun Kumar Sunaniya; Reshmi Maity; Niladri Maity (IEEE Access, 2020)

Efficient FPGA implementation of corrected reversible contrast mapping algorithm for video watermarking. - Subhajit Das 001; Arun Kumar Sunaniya; Reshmi Maity; Niladri Pratap Maity (Microprocess. Microsystems, 2020)

Efficient FPGA implementation and verification of difference expansion based reversible watermarking with improved time and resource utilization. - Subhajit Das 001; Arun Kumar Sunaniya; Reshmi Maity; Niladri Pratap Maity (Microprocess. Microsystems, 2021)

Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System. - Ardhendu Sekhar; Soumen Biswas; Ranjay Hazra; Arun Kumar Sunaniya; Amrit Mukherjee; Lixia Yang (IEEE J. Biomed. Health Informatics, 2022)

FPGA implementation of high-fidelity hybrid reversible watermarking algorithm. - Subhajit Das 001; Arun Kumar Sunaniya (Microprocess. Microsystems, 2022)

Efficient Multi-Object Tracking Using RNN and Siamese Re-Identification. - Rhittwikraj Moudgollya; Arun Kumar Sunaniya; Rajat Kanti Bhattacharjee (J. Circuits Syst. Comput., 2024)

Computationally optimized brain tumor classification using attention based GoogLeNet-style CNN. - Anjana Bharati Subba; Arun Kumar Sunaniya (Expert Syst. Appl., 2025)