Paper
8 December 2011 A hybrid interpolation method edge-preserving for passive millimeter wave images
Hai Liu, Luxin Yan, Tianxu Zhang, Mingzhi Jin
Author Affiliations +
Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 80021L (2011) https://doi.org/10.1117/12.902131
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
This paper deals with edge-preserving interpolation for passive millimeter wave images with poor resolution and low SNR. A hybrid interpolation method basing on image decomposition via bilateral filtering is proposed. The low resolution and noisy image is first decomposed using the bilateral filter into the base and detail layers which represent large and small scale features, respectively. The base layer contains the large-scale structures and nearly frees with noise thus has the higher SNR, whereas the detail layer includes both small-scale details and noise and has the lower SNR. The detail layer is adaptively denoised by the joint bilateral filtering method and subsequently interpolated with edge preservation in the guidance of the base layer. The base layer is interpolated with edge-preserving method directly. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed method outperforms the conventional methods while preserving edges and suppressing jagging thus is suited for PMMW images interpolation to enhance resolution.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hai Liu, Luxin Yan, Tianxu Zhang, and Mingzhi Jin "A hybrid interpolation method edge-preserving for passive millimeter wave images", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021L (8 December 2011); https://doi.org/10.1117/12.902131
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KEYWORDS
Signal to noise ratio

Image resolution

Passive millimeter wave sensors

Image filtering

Denoising

Digital filtering

Extremely high frequency

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