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

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

Modification of fastNlMeansDenoising function for images sequence where consecutive images have been captured in small period of time. For example video. This version of the function is for grayscale images or for manual manipulation with colorspaces. For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394

Parameters

  • srcImgs: Input 8-bit 1-channel, 2-channel, 3-channel or 4-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. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise

C++ default parameters

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