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ORCIDP. Jidesh
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- affiliation: National Institute of Technology Karnataka, Department of Mathematical and Computational Sciences, India
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Journal Articles
- 2024
[j31]Architha Shastry
, P. Jidesh, Santhosh George, AA Bini:
A weighted nuclear norm (WNN)-based retinex DIP framework for restoring aerial and satellite images corrupted by gamma distributed speckle noise. Multim. Tools Appl. 83(13): 37927-37959 (2024)- 2023
- [j30]Amala Mary Vincent, Parthasarathy K. S. S., P. Jidesh:
Flood susceptibility mapping using AutoML and a deep learning framework with evolutionary algorithms for hyperparameter optimization. Appl. Soft Comput. 148: 110846 (2023) - [j29]Santhosh George, Muhammed Saeed K, Ioannis K. Argyros, P. Jidesh:
An apriori parameter choice strategy and a fifth order iterative scheme for Lavrentiev regularization method. J. Appl. Math. Comput. 69(1): 1095-1115 (2023) - [j28]Ramya Sadananda, Santhosh George, Ajil Kunnarath, Jidesh Padikkal, Ioannis K. Argyros:
Enhancing the practicality of Newton-Cotes iterative method. J. Appl. Math. Comput. 69(4): 3359-3389 (2023) - 2022
- [j27]A. Smitha, I. P. Febin, P. Jidesh:
A retinex based non-local total generalized variation framework for OCT image restoration. Biomed. Signal Process. Control. 71(Part): 103234 (2022) - [j26]Vasudevan Lakshminarayanan, P. Jidesh:
Frontiers in Retinal Image Processing. J. Imaging 8(10): 265 (2022) - [j25]A. Smitha, P. Jidesh:
Detection of retinal disorders from OCT images using generative adversarial networks. Multim. Tools Appl. 81(20): 29609-29631 (2022) - [j24]A. Smitha, P. Jidesh:
Classification of Multiple Retinal Disorders from Enhanced Fundus Images Using Semi-supervised GAN. SN Comput. Sci. 3(1): 59 (2022) - [j23]Krishnendu Remesh, Ioannis K. Argyros, Muhammed Saeed K, Santhosh George, Jidesh Padikkal:
Extending the Applicability of Cordero Type Iterative Method. Symmetry 14(12): 2495 (2022) - [j22]I. P. Febin, P. Jidesh:
Despeckling and enhancement of ultrasound images using non-local variational framework. Vis. Comput. 38(4): 1413-1426 (2022) - 2021
- [j21]Chitra Mekoth, Santhosh George, P. Jidesh:
Fractional Tikhonov regularization method in Hilbert scales. Appl. Math. Comput. 392: 125701 (2021) - [j20]Priya R. Kamath, Kedarnath Senapati, P. Jidesh:
Despeckling of SAR Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform. Int. J. Image Graph. 21(2): 2150023:1-2150023:21 (2021) - [j19]P. Jidesh, I. P. Febin:
A Perceptually Inspired Variational Model for Enhancing and Restoring Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 18(2): 251-255 (2021) - 2020
- [j18]Savitha G., P. Jidesh:
A holistic deep learning approach for identification and classification of sub-solid lung nodules in computed tomographic scans. Comput. Electr. Eng. 84: 106626 (2020) - [j17]I. P. Febin, P. Jidesh, A. A. Bini:
A Retinex-Based Variational Model for Enhancement and Restoration of Low-Contrast Remote-Sensed Images Corrupted by Shot Noise. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 941-949 (2020) - 2019
- [j16]Savitha G., Jidesh Pacheeripadikkal:
A fully-automated system for identification and classification of subsolid nodules in lung computed tomographic scans. Biomed. Signal Process. Control. 53 (2019) - [j15]Vorkady S. Shubha, Santhosh George, P. Jidesh:
Third-order derivative-free methods in Banach spaces for nonlinear ill-posed equations. J. Appl. Math. Comput. 61(1-2): 137-153 (2019) - 2018
- [j14]Jidesh Pacheeripadikkal, Shivarama Holla K.:
Non-local total variation regularization models for image restoration. Comput. Electr. Eng. 67: 114-133 (2018) - [j13]P. Jidesh, Balaji Banothu:
Image despeckling with non-local total bounded variation regularization. Comput. Electr. Eng. 70: 631-646 (2018) - [j12]Jidesh Pacheeripadikkal, Shivarama Holla K.:
Non-local total bounded variation scheme for multiple-coil magnetic resonance image restoration. Multidimens. Syst. Signal Process. 29(4): 1427-1448 (2018) - 2017
- [j11]Jidesh Pacheeripadikkal, A. A. Bini:
Image despeckling and deblurring via regularized complex diffusion. Signal Image Video Process. 11(6): 977-984 (2017) - 2016
- [j10]Vorkady S. Shubha, Santhosh George, Jidesh Pacheeripadikkal, M. E. Shobha:
Finite dimensional realization of a quadratic convergence yielding iterative regularization method for ill-posed equations with monotone operators. Appl. Math. Comput. 273: 1041-1050 (2016) - [j9]A. A. Bini, Jidesh Pacheeripadikkal:
Image Restoration Using Adaptive Region-Wise p-Norm Filter with Local Constraints. Int. J. Image Graph. 16(2): 1650008:1-1650008:25 (2016) - 2015
- [j8]Jidesh Pacheeripadikkal, Vorkady S. Shubha, Santhosh George:
A quadratic convergence yielding iterative method for the implementation of Lavrentiev regularization method for ill-posed equations. Appl. Math. Comput. 254: 148-156 (2015) - [j7]Vorkady S. Shubha, Santhosh George, Jidesh Pacheeripadikkal:
A derivative free iterative method for the implementation of Lavrentiev regularization method for ill-posed equations. Numer. Algorithms 68(2): 289-304 (2015) - 2014
- [j6]Jidesh Pacheeripadikkal, Bini Anattu:
Image Enhancement under Data-Dependent Multiplicative Gamma Noise. Appl. Comput. Intell. Soft Comput. 2014: 981932:1-981932:8 (2014) - [j5]Jidesh Pacheeripadikkal:
A convex regularization model for image restoration. Comput. Electr. Eng. 40(8): 66-78 (2014) - [j4]Ioannis K. Argyros, Santhosh George, Jidesh Pacheeripadikkal:
Inverse Free Iterative Methods for Nonlinear Ill-Posed Operator Equations. Int. J. Math. Math. Sci. 2014: 754154:1-754154:8 (2014) - [j3]Jidesh Pacheeripadikkal, A. A. Bini:
An Image Dehazing Model considering Multiplicative Noise and Sensor Blur. J. Comput. Eng. 2014: 125356:1-125356:9 (2014) - 2012
- [j2]Jidesh Pacheeripadikkal, Santhosh George:
Shock coupled fourth-order diffusion for image enhancement. Comput. Electr. Eng. 38(5): 1262-1277 (2012) - 2011
- [j1]Jidesh Pacheeripadikkal, Santhosh George:
Fourth-order variational model with local-constraints for denoising images with textures. Int. J. Comput. Vis. Robotics 2(4): 330-340 (2011)
Conference and Workshop Papers
- 2021
- [c6]Abhinaba Hazarika, P. Jidesh, A. Smitha:
Comparative Analysis of Machine Learning and Deep Learning Models for Ship Classification from Satellite Images. CVIP (2) 2021: 60-72 - 2020
- [c5]A. Smitha, P. Jidesh:
A Semi-supervised Generative Adversarial Network for Retinal Analysis from Fundus Images. CVIP (1) 2020: 351-362 - [c4]P. Jidesh, A. A. Bini:
A Graph Spectral Approach for Restoring Images Corrupted by Shot-Noise. CVIP (1) 2020: 363-373 - 2019
- [c3]A. Smitha, P. Jidesh, I. P. Febin:
Retinal Vessel Classification Using the Non-local Retinex Method. IHCI 2019: 163-174 - 2017
- [c2]B. Balaji, P. Jidesh:
Non-local Gradient Fidelity Model for Multiplicative Gamma Noise Removal. ICAPR 2017: 1-6 - 2013
- [c1]Jidesh Pacheeripadikkal, A. A. Bini:
A Complex Diffusion Driven Approach for Removing Data-Dependent Multiplicative Noise. PReMI 2013: 284-289
Coauthor Index
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