Image Denoising With Edge-Preserving and Segmentation Based on Mask NHA

In this paper, we propose a zero-mean white Gaussian noise removal method using a high-resolution frequency analysis. It is difficult to separate an original image component from a noise component when using discrete Fourier transform or discrete cosine transform for analysis because sidelobes occur...

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Veröffentlicht in:	IEEE transactions on image processing 2015-12, Vol.24 (12), p.6025-6033
Hauptverfasser:	Hosotani, Fumitaka, Inuzuka, Yuya, Hasegawa, Masaya, Hirobayashi, Shigeki, Misawa, Tadanobu
Format:	Artikel
Sprache:	eng
Schlagworte:	Discrete cosine transforms Discrete Fourier transforms Edge detection Fourier transforms Image denoising Image edge detection Image representation Image segmentation Noise Noise measurement Noise reduction Non-harmonic analysis (NHA)
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