Abhishek Basu
@rcciit.org.in
Associate Professor, Department of Electronics & Communicatios Engineering
RCC Institute of Information Technology
Dr. Abhishek Basu is Associate Professor and former Head of the Department, Department of Electronics and Communication & Engineering, RCC Institute of Information Technology, Kolkata, India.
He received his B. Tech. in Electronics and Telecommunication Engineering from West Bengal University of Technology in the year 2005, M. Tech. in VLSI Design from Institute of Radio Physics and Electronics, University of Calcutta, India in 2008, and Ph. D (Engg) from Jadavpur University, India in 2015. He is currently an Associate Professor and the Faculty in Charge (Academics) of RCC Institute of Information Technology, Kolkata, India. He has served as Undergraduate Program Coordinator and head of the Department in the Electronics and Communication Engineering Dept. from 30/03/16 to 01/01/17 and 01/01/17 to 31/12/18 respectively. Prior to this, he was a lecturer in the Electronics and Communication Engineering department of Guru Nanak Institute of Technology, Kolkata, India from 2008-2009. Befor
EDUCATION
B. Tech. in Electronics and Telecommunication Engineering from West Bengal University of Technology in the year 2005
M. Tech. in VLSI Design from Institute of Radio Physics and Electronics, University of Calcutta, India in 2008
Ph. D (Engg) from Jadavpur University, India in 2015.
RESEARCH INTERESTS
Multimedia copyright protection, Information hiding, VLSI IP protection technique, FPGA-based system design, Digital image processing, low power VLSI Design and embedded system design
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Anirban Saha, Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
Springer Science and Business Media LLC
Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
ECTI
Telemedicine is one of the most eminent terms used in the modern e-healthcare system. Digital medical image reports, along with electronic patient records, play a central role in diagnosis from distance. These reports need to be transmitted over an open communication channel with immense security and reliability, so that appropriate diagnosis can be performed. Moreover, the privacy of the patient is required to be preserved. Digital watermarking is one of the most conventional and suitable practices to serve all of these purposes. New challenges appear in the domain of watermarking with the advancement of digital signal processing; consequently, researchers are endowing more efforts to overcome these challenges. In this paper, a survey on medical image watermarking has been done, and the performance of a few state-of-the-art medical image watermarking techniques is compared. This work makes the researchers and the developers familiar with the recent trends, challenges, and scopes in this domain to facilitate them in finding out adequate research directions.
Dipankar Das, Anup Kumar Kolya, Soham Sarkar, and Abhishek Basu
Elsevier
Dipankar Das, Anup Kumar Kolya, Soham Sarkar, and Abhishek Basu
Elsevier
Bishwabara Panda, Manas Ranjan Nayak, Pradeep Kumar Mallick, and Abhishek Basu
ECTI
This paper proposes a digital image watermarking strategy using histogram equalization and visual Saliency followed by LSB (Least Significant Bit) replacement for better imperceptibility with hiding capacity. With this technique, a saliency map determines lesser-observable parts of the original image and gradually implants with increasing amounts of information based on histogram equalization information. The output from saliency is the perceptible areas within an image, which is the most notable position from the perspective of vision; as a result, any changes made other than those areas will be less noticeable to viewers. Implementing the histogram method helps identify the areas where we can hide our secret information within that image. Using the LSB replacement technique, we adaptively insert our confidential data into the original image. Here, we use the saliency map to find out the non-salient region or less perceptible region to improve the imperceptibility, and the histogram equalization technique is used to maximize the hiding capacity within those less perceptible regions. So that we can improve the imperceptibility as well as the hiding capacity.
Anirban Saha, Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
IEEE
Performance evaluation for image quality assessment plays a very vital role in digital image watermarking. The main objective of this paper is to study the process of statistical analysis of image quality metrics for performance evaluation testing in digital image watermarking. This review gives the basic idea of statistical method ANOVA, which will help the researchers to assess the quality of their methods not only related to image watermarking but also to different fields of research of their own interests. The comprehensive study on some existing methods is also presented in this paper to show the effectiveness as well as the limitations of the performance evaluation metrics in the domain of digital image watermarking.
Sharbari Basu, Arunothpol Debnath, Abhishek Basu, and Tirtha Sankar Das
Springer Science and Business Media LLC
Ranit Karmakar and Abhishek Basu
IGI Global
Electronic health records (EHR) contain patients' medical as well as personal details. With the increased use of digital media, these data are stored and transferred through the electronic media all over the world. This makes it vulnerable to unauthorized people. Digital image watermarking can be a useful process of protecting these data from attacker but causes severe and unrecoverable damage to cover media. In the case of highly sensitive images like medical images, this might creates a problem during further diagnosis. In this chapter, a reversible data hiding algorithm is proposed which also is capable of holding a large chunk of data without affecting the cover media. The main cover image is first reconstructed and hidden behind a bigger media and then the extra pixels are used to hide encrypted forms of EHR data along with an authentication signature. As EHR data and the digital signature is passed through various encryption stages while encoding, it is made more secure. The algorithm is developed on the spatial domain adding some cautious measures which made it fragile as well.
Abhishek Basu and Soumadeb Dutta
IGI Global
The recent developments of enormous computer networks have invoked insecurities related to copyright theft of digital media. To be precise, the virtual sharing of medical images over networks with a novel desire of improved medical diagnosis has led to the tampering of sensitive patient identity information. In this chapter, the authors have exemplified the need of watermarking with fragile medical image watermarking using saliency and phase congruency. Initially, the saliency and phase congruency methodologies are applied on the original medical image to highlight the object features. Based on the feature map, a mask is generated which segregates the area of interest from the portions containing visual medical information. An encrypted text, containing identity of the patient, is embedded into the area of interest of the image. The results of imperceptibility and fragility criteria are satisfactory towards the implementation of a fragile watermark as the extracted watermark is found to be corrupted upon unfaithful image processing modifications.
Souradeep Das, Upasana Basu, Rohit Das, Shashwata Saha, and Abhishek Basu
Springer Nature Singapore
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay, and Rajeev Kamal
Springer Science and Business Media LLC
Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
IEEE
The aim of this work is to develop FPGA architecture of such an image watermarking scheme that can overcome the tradeoffs among the major three qualities – imperceptibility, robustness, and payload. This proposed scheme, developed in spatial domain, can be performed to embed gray-scale watermark image into any single color-plane of a cover object. Embedding has been performed in such a manner that the watermark pixels of any particular shade can be inserted into cover image pixels having the same or contiguous shades. This way, the visual transparency of the embedded information has been improved. Efficiency of this proposed scheme has been assessed through some image quality metrics, and compared to the same of some new age image watermarking techniques. The comprehensive analysis asserts that this watermarking system is able to meet its goal successfully.
Soham Sarkar, Abhishek Basu, and Siddhartha Bhattacharyya
Wiley
Soham Sarkar, Abhishek Basu, and Siddhartha Bhattacharyya
Wiley
Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
Wiley
Arunothpol Debnath, Anirban Saha, Tirtha Sankar Das, Abhishek Basu, and Avik Chattopadhyay
Wiley
Asha Majumder, Sandipan Saha, Tanmay Bhowmik, and Abhishek Basu
IEEE
Blockchain is a distributed ledger technology, frequently used in the creation of new digital currencies. The rapid development of blockchain technology has resulted in numerous new successes in industry and academia. This architecture is now widely used in e-finance as a widely accepted electronic money. It possesses critical characteristics such as immutability, decentralisation, and transparency, which may aid in the resolution of major healthcare challenges. Highlighted issues are like, incomplete treatment records, restricted access to patients’ own health records and so on. A blockchain architecture stores multiple copies of a single piece of data in various locations and on various devices. Hence, even if one copy of data is damaged or tampered, other copies remain immutable. The link between the blocks prevents any of the information from being changed or a new block from being placed between two existing blocks. A healthcare record management system based on blockchain technology is proposed in this paper. The proposed model is a multilayer architecture with different components representing various entities related to the healthcare system. Patients, doctors, clinics or hospitals, medical records, and so on are examples of entities. Effective sharing of medical data, ensuring Authentication and Authorization, is one of the most important aspects of this research.
Sandipan Saha, Asha Majumder, Tanmay Bhowmik, Abhishek Basu, and Amitava Choudhury
IEEE
Blockchain is a distributed ledger technology that is commonly employed in the development of new digital currencies. Many new successes in industry and academia have resulted from the rapid development of blockchain technology. This architecture is currently widely employed in e-finance as a generally acknowledged electronic money. It has crucial qualities like immutability, decentralization, and transparency that could help with critical healthcare challenges also. These issues may include incomplete records at the point of care, restricted access to patients’ own health information, etc. Multiple copies of a single data are stored in various locations and on several devices of a blockchain architecture. In spite of lose or damage of one copy of data, multiple copies remain safe and secure. The connection between the blocks prevents any of the information from being modified or a block from being put between two existing blocks. In this paper, a healthcare data management system based on blockchain technology has been proposed. The proposed model is a multilayer architecture where different entities related to healthcare system will be different components. The entities are patients, doctors, clinic or hospitals, medical records etc. Effective medical data sharing is one of the important aspect of this research work.
Soumodeep Das, Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
Springer Nature Singapore
Sharbari Basu, Arunothpol Debnath, Abhishek Basu, Tirtha Sankar Das, Avik Chattopadhyay, and Anirban Saha
Springer Nature Singapore
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay, and Tirtha Sankar Das
Springer Science and Business Media LLC
Subhrajit Sinha Roy, Abhishek Basu, and Avik Chattopadhyay
Springer Science and Business Media LLC
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Patent:
· Granted:
1) “Systems Level Methods for Epigenetic Drug Development for Human Diseases”, Indian Patent No:371983
2) “A microcontroller based low cost electronic locking system using 2-way authentication”, Australian Patent number: 2021101384,
3) “A Multilevel Image Segmentation Hardware”, Australian Patent number: 2021101243.
· Filed and Published:
1) "Cloud based Distributed Internet of Things Enabled Intelligent Colorimeter using Color LEDS," Patent Application No. 202131047448, 2021
2)"Low Power and High Speed Floating Point Divider" Patent Application , 2019
3) "An Image Feature Fusion Hardware System for Faster Convergence of Classification" Patent Application , 2018
Computer Software Copyright:
1.Colour Image Copyright Protection Architecture using Saliency & Edge Detection, Registration Number: SW-15754/2022.
2.Pixel Modification based Robust Image Watermarking using Linear Error Correction Code, Diary Number: 20727/2022-CO/SW.
3.Robust and Secured Copyright Protection for Medical Images, Diary Number: 21161/2022-CO/SW.
4.Feature Extraction using Bit Plane Slicing of Breast Cancer Histopathological Image, Diary Number: 22598/2022-CO/SW.