Image Enhancement Based on Brushlet Transform

• 作者: HUXinwei YANGXin
• 来源期刊: 电子学报(英文版)
• 学科: 工学
• 关键词: 图象增强 非线性 Brushlet变换 图像处理
• 年，卷（期）: 2005,（1）
• 页码范围: 106-110
• 页数: 5页
• 分类号: TP391.41
• 语种: 中文

摘要

In this paper, the method of image enhancement based on Brushlet transform is discussed. One favorable characteristic of brushlet is the good localization in both time and frequency domain so it allows treatment for a particular range of data. Furthermore, brushlet can be implemented with faster speed than wavelet transform while preserving the same quality thanks for folding technique and Fast Fourier transform (FFT). The innovation ofthis paper is that after first transforming the image from raw data into brushlet coefficients, we will apply a new nonlinear algorithm to the discrete coefficients. The algorithm is described by a curve which takes the main function of image enhancement. Compared to classical methods, the method presented in this paper not only improves the calculation speed but also provides a high-quality image.