Name
Abstract | ||
|---|---|---|
To remove signal-dependent noise of a digital color camera, this paper presents a new color-image denoising scheme in a wavelet transform domain, which is newly developed from the classic spatially-adaptive wavelet denoising scheme with the Wiener-type linear shrinkage function. The classic Wiener-type linear shrinkage function works well for monochrome images; to utilize linear inter-channel color cross-correlations, usually a noisy input color image undergoes the color-transformation from the RGB color space to the luminance-and-chrominance color space, and then the luminance and the chrominance components are separately denoised. However, this color-denoising approach cannot take advantage of nonlinear inter-channel color cross-correlations caused by color edges, and cannot cope with actual signal-dependent noise. To utilize the noise's signal-dependencies, this paper constructs a new Wiener-type linear color-shrinkage denoising scheme where the inter-channel color cross-correlations are directly utilized in the RGB color space, and its shrinkage parameters are spatially-adaptively controlled according to not only local statistics in a noisy input color image, but also the noise's signal-dependencies. Experimental simulations demonstrate that our denoising scheme alleviates artifacts caused by denoising, and improves picture quality of denoised images, as well as we have expected. |
Year | Venue | Keywords |
|---|---|---|
2008 | Lausanne | adaptive signal processing,adjacent channel interference,cameras,correlation methods,image colour analysis,image denoising,image sensors,stochastic processes,wavelet transforms,rgb color space,wiener-type linear color shrinkage denoising scheme,color image denoising scheme,digital color camera,linear color shrinkage,linear interchannel color cross-correlation,luminance-and-chrominance color space,monochrome image color edges,nonlinear interchannel color cross-correlation,picture quality improvement,signal-dependent noise removal,spatially adaptive wavelet denoising scheme,wavelet transform domain |
Field | DocType | ISSN |
Computer vision,Color space,Color histogram,RGB color space,Color balance,Artificial intelligence,Video denoising,Color normalization,Color quantization,Mathematics,Color image | Conference | 2219-5491 |
Citations | PageRank | References |
4 | 0.54 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takahiro Saito | 1 | 100 | 30.46 |
| Nobuhiro Fujii | 2 | 4 | 0.54 |
| Shingo Yoshioka | 3 | 4 | 0.54 |
| Takashi Komatsu | 4 | 113 | 33.96 |