IMAGE QUALITY ENHANCEMENT BASED ON CURVELET

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Authors

Keywords:

Curvelet Transforms, Image Denoising, Dual Tree Complex Wavelet Transform.

Abstract

Visual information transmitted in a digital image is becoming a major means of communication but the images that are received, encoded and transmitted are often damaged by noise or vibration. To improve image quality, a number of techniques have been proposed such as discrete Wavelet transform, dual tree complex Wavelet transform, traditional filters, pretrained denoising convolutional neural network.... However, it is still not able to bring high efficiency due to the existence of high noise. computational complexity, memory consumption, and processing speed. In this article, we propose to use Curvelet transform to improve image quality.

Published

12-04-2021

How to Cite

Bình. “IMAGE QUALITY ENHANCEMENT BASED ON CURVELET”. Journal of Military Science and Technology, no. 72, Apr. 2021, pp. 112-8, https://online.jmst.info/index.php/jmst/article/view/60.

Issue

Section

Research Articles