Research 

2023 – 25

Exploring ‘Smart’ Pedagogy through the End-to-End Development of a Technology-Enhanced Learning (TEL) system

under Joint Research Project under ICSSR (India)- JSPS (Japan) Joint Research Programme / Co-PI

2017 – 20

Noise-enhanced Edge-preserving Image Denoising using Stochastic Resonance

under Early Career Research Award by Science and Engineering Research Board, Department of Science and Technology, Govt. of India / PI

2017 – 20

No-reference Image Quality Assessment and Applications / PI

Research Initiation Grant, IIT Jodhpur

(Google Scholar Profile)

International Journals

1. P. S. Nath and R. Chouhan, "Quantifying Image Naturalness using Transfer Learning and Fusion Model," Multimedia Tools and Applications, 2023, DOI: https://doi.org/10.1007/s11042-023-17790-9. 

2. R. Chouhan, "Strategies for maintaining academic integrity in remote unproctored and proctored online assessments for engineering courses," Learning: Research and Practice, June 2023. DOI: 10.1080/23735082.2023.2216198 

3. D. Dhillon and R. Chouhan, "Edge-preserving image denoising using noise-enhanced patch-based non-local means," Multimedia Systems, 2022, https://doi.org/10.1007/s00530-022-01035-0.

4. D. Dhillon and R. Chouhan, "Exhibition of noise-aided stochastic resonance by discontinuity detectors in smartphone images," Fluctuation and Noise Letters, 2022, vol. 22, no. 4, Article 2250038, pp. 1-17, DOI: 10.1142/S0219477522500389.

5. D. Dhillon and R. Chouhan, "Enhanced edge detection using SR-guided threshold maneuvering and window mapping: Handling broken edges and noisy structures in Canny Edges," IEEE Access, vol. 10, pp. 11191 - 11205, 2022. DOI: 10.1109/ACCESS.2022.3145428.

6. R. Chouhan, P. K. Biswas, and R. K. Jha, “Hybrid domain analysis of noise-aided contrast enhancement using stochastic resonance,” Journal of Signal Processing Systems (Springer), vol. 89, pp. 243–262, 2017.

7. R. Chouhan, P. K. Biswas, and R. K. Jha, “Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting,” Signal, Image and Video Processing (Springer), vol. 9, pp. 255–263, 2015.

8. R. K. Jha and R. Chouhan, “Noise-induced Contrast Enhancement using Stochastic Resonance on Singular Values,” Signal, Image and Video Processing (Springer), vol. 8, no. 2, pp. 339–347, February 2014.

9. R. K. Jha and R. Chouhan, “Dynamic Stochastic Resonance-based Grayscale Logo Extraction in Hybrid SVD-DCT Domain,” Journal of The Franklin Institute (Elsevier), vol. 351, pp. 2938–2965, 2014.

10. R. K. Jha, R. Chouhan, K. Aizawa, “Dynamic Stochastic Resonance-based Improved Watermark Extraction in DCT Domain,” Computers and Electrical Engineering (Elsevier), vol. 40, no. 6, pp. 1917–1929, August 2014.

11. R. Chouhan, R. K. Jha, P. K. Biswas, “Enhancement of Dark and Low Contrast Images using Dynamic Stochastic Resonance,” IET Image Processing, vol. 7, no. 2, pp. 174–184, March 2013.

12. R. K. Jha, R. Chouhan, P. K. Biswas, K. Aizawa, “Dark and Low-Contrast Image Enhancement using Dynamic Stochastic Resonance in DCT Domain,” APSIPA Transactions on Signal and Information Processing (Cambridge University Press), vol. 2, Article e6, 2013.

13. R. K. Jha, A. Chaturvedi, R. Chouhan, "Watermark detection using dynamic stochastic resonance,” Fluctuation and Noise Letters, vol. 12, no. 3, 1350010, 2013.

International/National Conferences

1. K. R. Das and R. Chouhan, "Analysis of engagement and retention in 3D e-learning environment," Proc. International Conference on Technology for Education (T4E) 2023, 24 - 26 November, 2023, Mumbai, India.

2. R. Chouhan, "Pre-University Outreach in STEM field through Basic Electronics Hands-on Activities," Proc. IEEE Global Engineering Education Conference (EDUCON) 2023, Special Session: Pre-University STEM Outreach: Igniting Interest in STEM in Young Students, Kuwait, 01-04 May 2023. https://doi.org/10.1109/EDUCON54358.2023.10125214.

3. R. Chouhan, "Bridging the digital divide through blended learning for freshmen engineering students," ISTELive22, International Society for Technology in Education (ISTE), June 22 - 29, 2022, New Orleans, US.

4. K. Sanodariya, M. Shekhar, A. Pandey, A. Raj, A. Gupta, P. Suryavanshi and R. Chouhan, "Game-based Learning for Engineering Education: Supplementing Basic Electronics Instruction with Educational Games," Proc. 10th International Conference on Information and Education Technology (ICIET 2022), April 9-11, 2022, Matsue, Japan, pp. 140-144. DOI: 10.1109/ICIET55102.2022.9779011 [Best Presentation Award on Web-based Learning, Game-based Learning and Online Discussion Analysis]

5. R. Chouhan, "Enhanced engagement through instructor-created interactive video assignments in a flipped electrical engineering classroom," Proc. 2022 IEEE Global Engineering Education Conference (EDUCON), 28-31 March 2022, Tunisia, DOI: 10.1109/EDUCON52537.2022.9766787.

6. K. Sanodariya, M. Shekhar, A. Pandey, A. Raj, A. Gupta, P. Suryavanshi and R. Chouhan, "Game-based Learning for Basic Electronics," Proc. International Conference on TESOL and Education (ICTE), 22 January 2022, Vietnam, pp. 61-62.

7. R. Chouhan, "Effective interactive video assignments and rewatch analytics for online flipped classrooms," Proc. International Conference on Advanced Learning Technologies on Education & Research (ICALTER 2021), 16-18 December 2021, Peru, DOI: 10.1109/ICALTER54105.2021.9675132.

8. P. Shabari Nath, Harsh K. Gandhi, and R. Chouhan, "Quantifying image naturalness using differential curvelet features," Proc. Image and Vision Computing New Zealand, 09 - 10 December 2021, DOI: 10.1109/IVCNZ54163.2021.9653312.

9. Vineet Kumar and R. Chouhan, "Edge-preserving denoising using gradient-based estimation and iterative noise-aided processing," Proc. 2021 IEEE 18th India Council International Conference (INDICON), December 19 - 21, 2021, IIT Guwahati, DOI: 10.1109/INDICON52576.2021.9691701 [Best Paper Award in Signal Processing and Multimedia Track]

10. Harsh K. Gandhi, P. Shabari Nath and R.Chouhan, “Image glossiness from curvelet features using SVM-based classification,“ Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Paris, France, November 9-12, 2020, pp. 1--6.

11. Deepak Dhillon, R. Chouhan, “Noise-aided edge-preserving image denoising using non-local means with stochastic resonance,“ Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2018, CA, USA, pp. 21-25.

12. V. Kumar and R. Chouhan, “No-reference Image Quality Assessment using Gabor-based Smoothness and Latent Noise Estimation“, Proc. 2017 International Conference on Image Processing Theory, Tools and Applications (IPTA), Montreal, Canada, November 28-December 02, 2017.

13. Vineet Kumar and R. Chouhan, “No-reference Image Quality Assessment using Gradient-based Structural Integrity and Latent Noise Estimation“, Proc. 2017 IEEE Region 10 Symposium (TENSYMP), India, July 14-16, 2017.

14. R. Chouhan and P. K. Biswas, “Image quality assessment for a selective-processing noise-aided iterative enhancement algorithm,” Proc. National Conference on Communications 2016, Guwahati, India, pp. 115–120.

15. R. Chouhan and P. K. Biswas, “Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model,” in Proc. IEEE International Conference on Visual Communication and Image Processing (VCIP) 2015, Singapore, December 13–16, 2015.

16. R. Chouhan and P. K. Biswas, “Image enhancement and dynamic range compression using novel intensity-specific stochastic resonance-based parametric image enhancement model,” in Proc. 2014 IEEE International Conference on Image Processing (ICIP 2014), October 27–30, 2014, Paris, France, pp. 4532–4536.

17. R. Chouhan, R. K. Jha, P. K. Biswas, “Noise-enhanced Contrast Stretching of Dark Images in SVD-DWT domain,” in Proc. 2013 Annual IEEE India Conference (INDICON), Mumbai, India, December 13–15, 2013.

18. R. Chouhan, R. K. Jha, P. K. Biswas, “Wavelet-based Contrast Enhancement of Dark Images using Dynamic Stochastic Resonance,” in Proc. Indian Conference on Vision, Graphics and Image Processing (ICVGIP), December 16–19, 2012, Mumbai, India, Article 73.

19. R. Chouhan, R. K. Jha, P. K. Biswas, “Image Denoising using Dynamic Stochastic Resonance in Wavelet domain,” in Proc. 2012 IEEE International Conference on Intelligent Systems Design and Applications (ISDA), Cochin, India, November 27–29, 2012, pp. 58–63.

20. R. K. Jha, R. Chouhan, P. K. Biswas, K. Aizawa, “Internal Noise-Induced Contrast Enhancement of Dark Images,” in Proc. IEEE International Conference on Image Processing (ICIP 2012), Orlando, USA, September 30–October 3, 2012, pp. 973–976, 2012.

21. R. K. Jha, B. Soni, R. Chouhan, Kiyoharu Aizawa, “Improved Watermark Extraction from Audio Signals by Scaling of Internal Noise in DCT Domain,” in Proc. ICCSEA 2012, New Delhi, India, May 25–27, (Archived in: Advances in Computer Science, Engineering & Applications, Advances in Intelligent and Soft Computing, D. C. Wyld, J. Zizka and D. Nagamalai (Eds.), Springer-Verlag Berlin Heidelberg, 2012, vol. 166, pp. 235–243. 2012)

22. R. K. Jha, R. Chouhan, P. K. Biswas, “Noise-induced Contrast Enhancement of Dark Images using Non-dynamic Stochastic Resonance,” in Proc. National Conference on Communications (NCC), Kharagpur, February 3–5, 2012, pp. 1–5.

23. R. Chouhan, R. K. Jha, A. Chaturvedi, T. Yamasaki, K. Aizawa, “ Robust watermark extraction using SVD-based dynamic stochastic resonance,” in Proc. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, September 11–14, 2011, vol. 11, pp. 2801–2804.

24. R. Chouhan, R. K. Jha, M. Shrivastava, A. Chaturvedi, “Improved watermark extraction using Dynamic Stochastic Resonance,” Proc. IEEE Recent Advances in Intelligent Computational Systems, Cochin, India, September 22–24, 2011, pp. 280–285, doi:10.1109/RAICS.2011.6069318.

25. R. Chouhan, C. P. Kumar, R. Kumar, R. K. Jha, “Contrast Enhancement of Dark Images using Dynamic Stochastic Resonance in Wavelet domain,” in Proc. International Conference on Machine Learning and Computing, February 26–28, 2011, Singapore (Archived in International Journal of Machine Learning and Computing, vol. 2, no. 5, pp. 711–715, 2012).

26. R. Chouhan, A. Mishra, P. Khanna, “Wavelet-based robust digital watermarking scheme for fingerprint authentication,” in Proc. ISEM International Conference on Intelligent Computational Systems (ICICS), Bangkok, Thailand, July 8–9, 2011, pp. 29–33.

27. R. Chouhan, N. Rao, “Vegetation Detection in Multispectral Remote Sensing Images: Protective Role-Analysis of Coastal Vegetation in 2004 Indian Ocean Tsunami,” in Proc. GeoInformation for Disaster Management, Antalya, Turkey, May 03–08, 2011.

• International Conference on TESOL and Education 2022, Vietnam (Virtual)

• EduTech India 2021 Virtual

• International Conference on Advanced Learning Technologies on Education & Research, Peru (Virtual) 

• International Women in Engineering COVID19 Congress 2021 (WIECOV 2021) 

• International Conference on Image Processing Theory, Tools and Applications (IPTA) 2020 (Online), Paris, France

• International Conference on Image Processing Theory, Tools and Applications (IPTA) 2017, Montreal, Canada

• IEEE Region 10 Symposium (TENSYMP) 2017, India (Session Chair)

• IEEE International Conference on Visual Communication & Image Processing (VCIP) 2015, Singapore

• IEEE International Conference on Image Processing (ICIP) 2014, Paris (France)

• Annual IEEE India Conference (INDICON) 2013, IIT Bombay (India)

• Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2012, IIT Bombay (India)

• IEEE International Conference on Image Processing (ICIP) 2012, Florida (USA)

• IEEE International Conference on Intelligent Systems and Design (ISDA) 2012, Kerala (India)

• National Conference on Communications–NCC 2012, Kharagpur, and NCC 2014, Mumbai (India)

Jan 2016 – May 2016
Post Doctoral Fellow, IIT Bombay

Image denoising using stochastic resonance

Dec 2011 – Aug 2015

Research Scholar, IIT Kharagpur

• The doctoral thesis addresses the problems of image enhancement: contrast enhancement, denoising, and dynamic range compression, using the concept of noise-aided dynamic stochastic resonance. Stochastic resonance (SR) is a counterintuitive phenomenon where addition of noise can be utilized to amplify a weak signal. It can be applied to images through an iterative process modeled from the motion dynamics of a particle oscillating in a quartic double-well potential. A processing model comprises a processing equation and its parameter selection.

• Broadly speaking, the thesis presents two sets of contributions: the analysis of existing SR models for dark image enhancement in hybrid domains, and the development of a novel intensity-specific SR model for dynamic range compression of images with bright/dark regions. The noise in the current context is the inherent internal degradation in a dark/low-contrast image due to insufficient illumination, and is non-separable from the image information.

• While characterizing dynamic range compression, several existing image quality metrics were found incoherent with visually optimal outputs. Therefore, a new metric called image quality for dynamic range compression, by revising the existing universal image quality metric, is proposed and tested on several images.

• A preliminary study of the input statistics-dependent SR model for wavelet-based denoising of Gaussian-corrupted images showed marginal improvement over conventional methods.
  
  

Jan 2010 – Dec 2011

M.Tech. Student, IIITDM Jabalpur

• Master’s thesis focused on preliminary investigation of use of stochastic resonance on image enhancement and improved watermark extraction/detection

• Worked on fingerprint authentication using watermarking