Himanshu Singh

ORCID: 0000-0002-0410-0602
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About
Contact & Profiles
Research Areas
  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques
  • Algebraic and Geometric Analysis
  • Neural Networks and Applications
  • Holomorphic and Operator Theory
  • IoT and Edge/Fog Computing
  • Big Data and Business Intelligence
  • Image Processing Techniques and Applications
  • Computational Physics and Python Applications
  • Software Engineering Research
  • Non-Invasive Vital Sign Monitoring
  • Cloud Computing and Resource Management
  • Heart Rate Variability and Autonomic Control
  • Anomaly Detection Techniques and Applications
  • Optical Coherence Tomography Applications
  • Constraint Satisfaction and Optimization
  • Hand Gesture Recognition Systems
  • Image and Video Quality Assessment
  • Meromorphic and Entire Functions
  • Agricultural Systems and Practices
  • Advanced Data Processing Techniques
  • Livestock Management and Performance Improvement
  • ECG Monitoring and Analysis

Atal Bihari Vajpayee Indian Institute of Information Technology and Management
2025

Instruments Research & Development Establishment
2023-2024

Danube Private University
2024

Indian Institute of Technology Indore
2023-2024

Centre for Health Technology and Services Research
2023

National Institute of Technology Karnataka
2022-2023

Indian Institute of Technology Guwahati
2022-2023

Shri Mata Vaishno Devi University
2023

Indian Institute of Technology Delhi
2023

Berkeley College
2023

A point contact/Coulomb coupling technique is generally used for visualizing the ultrasonic waves in Lead Zirconate Titanate (PZT) ceramics. The contact and delta pulse excitation produce a broadband frequency spectrum wide directional wave vector. In ultrasonic, signal corrupted with several types of noises such as speckle, Gaussian, Poisson, salt pepper noise. Consequently, resolution quality images are degraded. reliability health assessment any civil or mechanical structures highly...

10.1016/j.ultras.2022.106834 article EN cc-by Ultrasonics 2022-09-06

The performance of large language models (LLMs) on existing reasoning benchmarks has significantly improved over the past years. In response, we present JEEBench, a considerably more challenging benchmark dataset for evaluating problem solving abilities LLMs. We curate 515 pre-engineering mathematics, physics and chemistry problems from highly competitive IIT JEE-Advanced exam. Long-horizon top deep in-domain knowledge is essential in this benchmark. Our evaluation various open-source...

10.18653/v1/2023.emnlp-main.468 article EN cc-by Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing 2023-01-01

Retinal fundus images play an essential role in the diagnosis of retina-related diseases and hence, their quality enhancement is for doctors to make a reliable clinical diagnosis. This paper presents advanced retinal image method by employing efficiently modified biologically inspired levy-flight firefly optimizer association with novel optimally weighted piecewise gamma corrected energy redistributed dominant orientation based texture histogram equalization framework imparting overall...

10.1109/iccsp.2018.8524518 article EN 2018-04-01

In this paper, an efficient statistical approach employing a highly adaptive gamma correction based on adaptively clipped and locally equalized histogram using mean-median pair, is presented for the enhancement of low contrast dark images without losing their intrinsic features. For purpose, linearly stretched intensity range segmentation, first median mean distribution sub-histograms are derived local equalization after optimal clipping. Later on, non-linear transformational mapping has...

10.1109/icdsp.2016.7868607 article EN 2016-10-01

In this paper, the gamma corrected adaptive knee transformation, proposed by Monobe et al. is reviewed and improved exploiting two-dimensional single level Beta wavelet filter for subband decomposition of low contrast satellite images. For purpose, input image initially decomposed into its images such as low-low (LL), low-high (LH), high-low (HL), high-high (HH)). Then, LL-band coefficients are transformed to obtain enhanced applying transformation. Finally, it combined with rest subbands...

10.1109/iccsp.2016.7754552 article EN 2016-04-01

In this paper, a highly adaptive swarm intelligence inspired optimally gamma corrected intensity coverage maximization approach has been proposed for quality enhancement of dark and low contrast remotely sensed images. Various image techniques have till date, but in case images, most them are suffering from saturation effects higher regions along with information loss due to it; hence, not appreciated very well. Also, the available unable utilize entire allowable range, fully fruitfully....

10.1109/icdsp.2017.8096035 article EN 2017-08-01

The recently proposed DNS-over-HTTPS (DoH) protocol is becoming increasingly popular in addressing the privacy concerns of exchanging plain-text DNS messages over potentially malicious transit networks (e.g., mass surveillance at ISPs). By employing HTTPS to encrypt communications, DoH traffic inherently becomes indistinguishable from regular encrypted Web traffic, rendering active disruption downgrading DNS) by extremely hard. In this work, we investigate whether indeed traffic. To end,...

10.1109/eurosp51992.2021.00026 article EN 2021-09-01

A recent innovation in the Indian banking structure has been formation of a new institution—small finance banks (SFBs). These are expected to penetrate into financial inclusion by providing basic and credit services with differentiated model larger population. In this context SFBs have multiple challenges coming out new, business model. The include building low cost liability portfolio, technology management, balancing regulatory compliances. This paper also presents top mind views three...

10.1016/j.iimb.2017.10.001 article EN cc-by-nc-nd IIMB Management Review 2017-10-19

In this paper, an efficient statistical approach, employing a highly adaptive gamma correction based on regionally distributed and independently equalized histograms for all regions followed by contextual clipping, is presented overall enhancement of low contrast dark images keeping their intrinsic features preserved. For purpose, input image uniformly subdivided into several non-overlapping equal sized regions. A good estimation has been achieved classifying these three groups namely corner...

10.1109/spin.2017.8049988 article EN 2017-02-01

Overall enhancement for poorly illuminated satellite images (remote sensing images) and similar dark (from other domain) is always a very challenging task where information inherited in dense manner. In general, conventional intensity-based approaches usually suffered with insufficient colorfulness as well saturation artifacts, hence, never leads to desired overall such. This article presents novel gamma correction strategy, the value-set itself has been derived from optimally compressed...

10.1109/iccsp.2017.8286592 article EN 2017-04-01

Fractional-order integration (FOI) and its beauty of optimally ordered adaptive filtering for image quality enhancement are latently too valuable to be casually dismissed. With this motivation, a new Riemann-Liouville fractional-order calculus-based spatial-masking methodology is proposed in paper association with counterbalanced piecewise gamma correction (PGC). A generalized FOI-based mask also suggested. This negatively augmented the original harvesting texture-based benefits. PGC just...

10.1109/access.2019.2901292 article EN cc-by-nc-nd IEEE Access 2019-01-01

The performance of large language models (LLMs) on existing reasoning benchmarks has significantly improved over the past years. In response, we present JEEBench, a considerably more challenging benchmark dataset for evaluating problem solving abilities LLMs. We curate 515 pre-engineering mathematics, physics and chemistry problems from highly competitive IIT JEE-Advanced exam. Long-horizon top deep in-domain knowledge is essential in this benchmark. Our evaluation various open-source...

10.48550/arxiv.2305.15074 preprint EN other-oa arXiv (Cornell University) 2023-01-01

In this paper, an efficient and relatively fast approach for satellite image enhancement is proposed. This technique based on auto-knee transfer function with suitable gamma correction using slantlet transform two-scale decomposed image. Dark or low contrast, big-data (or large sized) multispectral images can be easily enhanced by proper tuning the value of gamma-parameter transform. Here, sub-band decomposition achieved employing single-level filter-bank, which just equivalent to...

10.1080/00207217.2018.1477199 article EN International Journal of Electronics 2018-05-15
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