Segmentation-based adaptive spatio-temporal filtering for noise canceling and MPEG pre-processing

Seong-Won Lee, V. Maik, Ji-Hoon Jang, Jeongho Shin, J. Paik
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引用次数: 1

Abstract

Noise reduction especially in low light level images is an important feature in consumer cameras. Existing methods to reduce such noise often degrade image quality due to an improper choice of filters. We present a high quality, low-cost noise reduction filter for enhancing low light level images. The proposed algorithm is simple, effective and computationally fast; it is suitable for low cost camcorders, digital cameras, CCTVs, and surveillance video systems.
基于分割的自适应时空滤波噪声消除和MPEG预处理
降噪是消费类相机的一项重要功能,尤其是在微光图像中。现有的降低此类噪声的方法往往由于滤波器选择不当而降低图像质量。我们提出了一种高质量,低成本的降噪滤波器,用于增强弱光图像。该算法简单、有效、计算速度快;适用于低成本摄像机、数码相机、闭路电视、监控视频系统等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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