Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Sima Sahu"'
Publikováno v:
Digital Image Enhancement and Reconstruction ISBN: 9780323983709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e7c467d3c71ec724034d3cd20c6c0f
https://doi.org/10.1016/b978-0-32-398370-9.00011-1
https://doi.org/10.1016/b978-0-32-398370-9.00011-1
Autor:
Amrit Kumar Agrawal, K.V. Arya, Vikas Baghel, Abul Bashar, Munish Bhardwaj, Gaurav Bhatnagar, Cai Yee Chang, Shubhojeet Chatterjee, Antitza Dantcheva, Manoj Diwakar, Srishty Dwivedi, Anna Jia Gander, Manish Gaur, Nidhi Goel, Lalita Gupta, Feiran Huang, Weichang Huang, Ankush Jain, Indu Joshi, Prem Kumar Kalra, Vineet Kansal, Nafis Uddin Khan, Riya Kothari, Pardeep Kumar, Vinod K. Kurmi, Khin Wee Lai, Zhiying Li, Wenxiao Liu, Wei Kit Loo, Zhihan Lv, Monika Mathur, P.V.S.S.R. Chandra Mouli, Surendra Nagar, Shyam Singh Rajput, Ciro R. Rodriguez, Sumantra Dutta Roy, Sima Sahu, Abhishek Singh, Amit Kumar Singh, Prabhishek Singh, Pramod Kumar Singh, Rini Smita Thakur, Anurag Singh Tomar, Ayush Utkarsh, Santosh Kumar Vishwakarma, Haoxiang Wang, Jingyi Wu, Shuxuan Xie, Dilip Kumar Yadav, Gaurav Yadav, Ram Narayan Yadav
Publikováno v:
Digital Image Enhancement and Reconstruction ISBN: 9780323983709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44dc43ea4b847ab42913dfd7ebce1a32
https://doi.org/10.1016/b978-0-32-398370-9.00005-6
https://doi.org/10.1016/b978-0-32-398370-9.00005-6
Publikováno v:
Optics & Laser Technology. 110:87-98
Now-a-days medical fundus images are widely used in clinical diagnosis for the detection of retinal disorders. Fundus images are generally degraded by noise and suffer from low contrast issues. These issues make it difficult for ophthalmologist to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d28a30725dc759ca0590ed7b1a7436
https://doi.org/10.1016/j.optlastec.2018.06.061
https://doi.org/10.1016/j.optlastec.2018.06.061
Despeckling of ultrasound images based on the multiresolution approach and Gaussianization transform
Nowadays, preservation of clinical data in medical images is an important research issue. Ultrasound imaging has a vast application in medical science in disease detection and diagnosis. Suppression of speckle noise called despeckling is greatly requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ceaf9d508720216ba8932cee32df31e
https://doi.org/10.1016/b978-0-12-819511-6.00014-5
https://doi.org/10.1016/b978-0-12-819511-6.00014-5
Autor:
Hiba Abdel-Nabi, Abhinav Adarsh, Ali Al-Haj, K.V. Arya, Gaurav Bhatnagar, Arnav Bhavsar, P. Chinnasamy, Muskan Dawar, P. Deepalakshmi, Rajasi Gore, Ritu Gothwal, Wahidah Hashim, M. Ilayaraja, Gaurav Jaswal, C. Jeyamala, Ranjeet Ranjan Jha, Neeru Jindal, Priyank Khare, Manju Khurana, Basant Kumar, Shailesh Kumar, Andino Maseleno, Ashish Nanda, Aditya Nigam, Shashwat Pathak, Eswaran Perumal, Prashant Singh Rana, J. Jennifer Ranjani, Amiya Kumar Sahu, Sima Sahu, K. Shankar, Suraj Sharma, Shivendra Shivani, Amit Kumar Singh, Ghanshyam Singh, Harpreet Singh, Harsh Vikram Singh, Satendra Pal Singh, Rohini Srivastava, Vinay Kumar Srivastava, Prabhat Thakur, Rohit Thanki, Shailendra Tiwari, Mukul Verma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72e33c458bdd670a2acc87a0c720bd4b
https://doi.org/10.1016/b978-0-12-819511-6.09995-7
https://doi.org/10.1016/b978-0-12-819511-6.09995-7
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 189-201 (2018)
A Bayesian approach using wavelet coefficient modeling is proposed for de-noising additive white Gaussian noise in medical magnetic resonance imaging (MRI). In a parallel acquisition process, the magnetic resonance image is affected by white Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0358cba0951c855cd6908860d800f2e2
https://doi.org/10.1515/jisys-2017-0402
https://doi.org/10.1515/jisys-2017-0402
Publikováno v:
Multimedia Tools and Applications. 78:4089-4106
Medical ultrasound images are used in clinical diagnosis and generally degraded by speckle noise. This makes difficulty in automatic interpretation of diseases in ultrasound images. This paper presents a speckle removal algorithm by modeling the wave
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fc44237ddd5c7ce82536a8a7ec57541
https://doi.org/10.1007/s11042-017-5221-9
https://doi.org/10.1007/s11042-017-5221-9
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813297746
Medical imaging has played an important role in medical disease detection, diagnosis, and research related findings and therapy. Removal of noise in a medical image is mandatory step for quality assessment. This paper presents a feature preserved Mag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::051af14ca8d31444569660de192a1c96
https://doi.org/10.1007/978-981-32-9775-3_70
https://doi.org/10.1007/978-981-32-9775-3_70
Publikováno v:
Handbook of Multimedia Information Security: Techniques and Applications ISBN: 9783030158866
Handbook of Multimedia Information Security
Handbook of Multimedia Information Security
This chapter proposed an adaptive wavelet thresholding method for enhancement and de-noising of retinal optical coherence tomography (OCT) image. Speckle noise degrades the OCT image and affects the disease diagnostic utility. OCT image enhancement i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35e7f41046001e1906f56e6ccfd60ce6
https://doi.org/10.1007/978-3-030-15887-3_22
https://doi.org/10.1007/978-3-030-15887-3_22
Publikováno v:
Handbook of Multimedia Information Security: Techniques and Applications ISBN: 9783030158866
Handbook of Multimedia Information Security
Handbook of Multimedia Information Security
This chapter presents a detailed study of the image processing steps to identify glaucoma including the key role of the de-noising in the detection of Glaucoma. De-noising plays an important role in the area of medical imaging. One of the major appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f521facd8c78be0a2f47eb36df42c46
https://doi.org/10.1007/978-3-030-15887-3_16
https://doi.org/10.1007/978-3-030-15887-3_16