Image correction technology under computer vision algorithms
Abstract
This article first introduces the key technologies in image processing, including image denoising, enhancement, restoration, and
super-resolution, and elaborates on the application characteristics of computer vision algorithms in image processing. The article focuses on
the image correction techniques under computer vision algorithms, especially the distortion correction process and the processing methods of
distorted images. I hope to provide reference for the application of image correction technology through this study.
super-resolution, and elaborates on the application characteristics of computer vision algorithms in image processing. The article focuses on
the image correction techniques under computer vision algorithms, especially the distortion correction process and the processing methods of
distorted images. I hope to provide reference for the application of image correction technology through this study.
Keywords
Computer Vision; Image Correction; Denoising; Enhancement; Restoration; Super-Resolution
Full Text:
PDFReferences
[1]Rao Perumalla Srinivasa; Yedukondalu Kamatham.Hardware implementation of digital image skeletonization algorithm using
FPGA for computer vision applications[J].Journal of visual communication & image representation,2019(Feba):140-149.
[2]Qin Fang;Zeng Weijia;Ruijie Liu;Xuming Lu.Research on Intelligent Image Recognition Technology Based on Equalization Algo_x005frithm[J]. Journal of Physics: Conference Series. Volume 1748, Issue 4 . 2021. PP 042065.
[3]Dai，Kankan，Zhao，Jianwei，Cao，Feilong.A novel algorithm of extended neural networks for image recognition[J]. Engineering Applications of Artificial Intelligence,2015(juna):57-66.
DOI: https://doi.org/10.18686/esta.v10i6.679
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Baiyun Qiu
