[−][src]Function opencv::photo::fast_nl_means_denoising_colored_multi

pub fn fast_nl_means_denoising_colored_multi(
    src_imgs: &dyn ToInputArray, 
    dst: &mut dyn ToOutputArray, 
    img_to_denoise_index: i32, 
    temporal_window_size: i32, 
    h: f32, 
    h_color: f32, 
    template_window_size: i32, 
    search_window_size: i32
) -> Result<()>

Modification of fastNlMeansDenoisingMulti function for colored images sequences

Parameters

  • srcImgs: Input 8-bit 3-channel images sequence. All images should have the same type and size.
  • imgToDenoiseIndex: Target image to denoise index in srcImgs sequence
  • temporalWindowSize: Number of surrounding images to use for target image denoising. Should be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise srcImgs[imgToDenoiseIndex] image.
  • dst: Output image with the same size and type as srcImgs images.
  • templateWindowSize: Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
  • searchWindowSize: Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater denoising time. Recommended value 21 pixels
  • h: Parameter regulating filter strength for luminance component. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise.
  • hColor: The same as h but for color components.

The function converts images to CIELAB colorspace and then separately denoise L and AB components with given h parameters using fastNlMeansDenoisingMulti function.

C++ default parameters

  • h: 3
  • h_color: 3
  • template_window_size: 7
  • search_window_size: 21