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pro vyhledávání: '"S Srinivas Kumar"'
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:1029-1039
Publikováno v:
IETE Journal of Research. :1-14
For any industry, an important part of quality control is the detection and identification of defects of the products. During the manufacturing process, a wide range of defects occur on or in the p...
Publikováno v:
Current Signal Transduction Therapy. 16:142-163
The main objective of image fusion for multimodal medical images is to retrieve valuable information by combining multiple images obtained from various sources into a single image suitable for better diagnosis. In this paper, a detailed survey on var
Publikováno v:
The Computer Journal. 65:2315-2338
This paper aims to develop a novel deep learning concept to deal with video inpainting. Initially, motion tracking is performed, which is the process of determining motion vectors that describe the transformation from adjacent frames in a video seque
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
Journal of Mobile Multimedia.
Video inpainting is the most trending research topic from the last decade. Video inpainting is the process of restoring the damaged parts of the vintage video or the filling of the regions by removing the unwanted objects with sophisticated technique
Publikováno v:
IETE Journal of Research. 68:350-367
Image segmentation is a vital step in image processing and has attracted many researchers towards its potential applications like object recognition, pattern recognition, computer vision and artifi...
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811605499
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb67e8785919a84275df73943719e7ac
https://doi.org/10.1007/978-981-16-0550-5_91
https://doi.org/10.1007/978-981-16-0550-5_91
Publikováno v:
In Pattern Recognition Letters July 2020 135:228-236
Autor:
G. Sridevi, S. Srinivas Kumar
Publikováno v:
Circuits, Systems, and Signal Processing. 38:3802-3817
Image inpainting, image deblurring, and noise removal are influential concepts in the field of digital image processing. Second-order diffusion-based image restoration models suffer from staircase effects and connectivity principle, while fourth-orde