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- W2381753941 abstract "With the rapid development of modern network transmission and video communication technology, the application field of thermal infrared image is broadened. A new thermal infrared image enhancement method based on improved wavelet transform is proposed. The algorithm in this paper takes the image that is distracted by the mixed noise(white Gaussian noise and salt pepper noise) as the research object. Firstly, the noise image is conducted two-dimensional wavelet transform so as to obtain the high frequency and low frequency wavelet decomposition coefficient. Because the low frequency wavelet decomposition coefficient contains most of the image information and less affected by the mixed noise, the histogram equalization method is used to deal with it so as to improve the image contrast. According to the characteristics of noise distribution in high frequency wavelet decomposition coefficients, the research of classical mathematical morphology filtering algorithm is done. Several kinds of multi-scale and multi-direction structure elements are designed respectively. The noise in high frequency can be filtered in three-stage, then the adaptive homomorphic filtering is applied to improve the image quality to the largest extend. Finally, the wavelet decomposition coefficient is reconstructed. The experimental results indicated that the performance of the algorithm in this paper is better than classical mathematical morphology filtering algorithm, and the improved mathematical morphology filtering algorithm, and provides a train of thought for infrared image processing." @default.
- W2381753941 created "2016-06-24" @default.
- W2381753941 creator A5086330863 @default.
- W2381753941 date "2014-01-01" @default.
- W2381753941 modified "2023-09-23" @default.
- W2381753941 title "Research on the Thermal Infrared Image Filtering and Enhancement Algorithm Based on Wavelet Transform Domain" @default.
- W2381753941 hasPublicationYear "2014" @default.
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