Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation
AbstractIn this paper, a spatio-spectral-temporal filter considering an inter-channel correlation is proposed for the denoising of a color filter array (CFA) sequence acquired by CCD/CMOS image sensors. Owing to the alternating under-sampled grid of the CFA pattern, the inter-channel correlation must be considered in the direct denoising process. The proposed filter is applied in the spatial, spectral, and temporal domain, considering the spatio-tempo-spectral correlation. First, nonlocal means (NLM) spatial filtering with patch-based difference (PBD) refinement is performed by considering both the intra-channel correlation and inter-channel correlation to overcome the spatial resolution degradation occurring with the alternating under-sampled pattern. Second, a motion-compensated temporal filter that employs inter-channel correlated motion estimation and compensation is proposed to remove the noise in the temporal domain. Then, a motion adaptive detection value controls the ratio of the spatial filter and the temporal filter. The denoised CFA sequence can thus be obtained without motion artifacts. Experimental results for both simulated and real CFA sequences are presented with visual and numerical comparisons to several state-of-the-art denoising methods combined with a demosaicing method. Experimental results confirmed that the proposed frameworks outperformed the other techniques in terms of the objective criteria and subjective visual perception in CFA sequences. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Lee, M.S.; Park, S.W.; Kang, M.G. Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation. Sensors 2017, 17, 1236.
Lee MS, Park SW, Kang MG. Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation. Sensors. 2017; 17(6):1236.Chicago/Turabian Style
Lee, Min S.; Park, Sang W.; Kang, Moon G. 2017. "Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation." Sensors 17, no. 6: 1236.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.