计算机科学
噪音(视频)
图像噪声
暗框减法
计算机视觉
数字图像处理
降噪
人工智能
数字图像
噪声测量
图像处理
数值噪声
中值滤波器
图像(数学)
噪声地板
作者
Boyat, Ajay Kumar,Joshi, Brijendra Kumar
出处
期刊:Cornell University - arXiv
日期:2015-05-13
标识
DOI:10.48550/arxiv.1505.03489
摘要
Noise is always presents in digital images during image acquisition, coding, transmission, and processing steps. Noise is very difficult to remove it from the digital images without the prior knowledge of noise model. That is why, review of noise models are essential in the study of image denoising techniques. In this paper, we express a brief overview of various noise models. These noise models can be selected by analysis of their origin. In this way, we present a complete and quantitative analysis of noise models available in digital images.
科研通智能强力驱动
Strongly Powered by AbleSci AI