Framework for the Restoration of Capsule Endoscopy Images Using Partial Differential Equations-based Filter

Kuntesh K. Jani1 Department of Computer Science and Engineering, Indian Institute of Technology (BHU) – Varanasi, Varanasi, Uttar Pradesh221 005, IndiaCorrespondence[email protected]

https://orcid.org/0000-0001-7225-1878 View further author information

Subodh Srivastava2 Department of Electronics and Communication Engineering, National Institute of Technology – Patna, Patna, Bihar, IndiaView further author information

Rajeev Srivastava1 Department of Computer Science and Engineering, Indian Institute of Technology (BHU) – Varanasi, Varanasi, Uttar Pradesh221 005, IndiaView further author information

ABSTRACT

This study presents a design and experimental results of a novel noise reduction framework for capsule endoscopy (CE) images. CE images exhibit random noise, motion blur, and illumination related degradations. These degradations reduce the efficiency of the computer-aided diagnosis (CAD) system. Restoration process aims to minimize degradations as much as possible; however; measurement of the degradations is a challenge. This study proposes a partial differential equation-based filter for the restoration of CE images. The proposed system performs noise removal while retaining high-frequency components. It measures the performance of the proposed restoration framework based on metrics related to image quality. Visual and statistical results show significant improvement in CE image quality. The proposed approach is capable of noise removal while preserving a low level and a few high-level components leading to better results. Finally, it also presents the performance of a CAD system with and without restoration.

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Notes on contributors

Kuntesh K. Jani

Kuntesh K Jani is currently a PhD research scholar in computer science and engineering at the Indian Institute of Technology (BHU), Varanasi, India. He also serves as assistant professor at Government Engineering College-Modasa, Gujarat, India. His research interests are machine learning, medical imaging and data science.

Subodh Srivastava

Subodh Srivastava is working as assistant professor in the Electronics and Communication Engineering Department at National Institute of Technology, Patna, India. He published over 30 papers in reputed journals and conferences. Email: [email protected]

Rajeev Srivastava

Rajeev Srivastava is working as a professor in the Department of Computer Science and Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi, India. He has nearly 20 years of teaching and research experience. He has over 100 research publications to his credit. Email: [email protected]

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