Enum DenoiseAlgorithm 

pub enum DenoiseAlgorithm {
    Gaussian {
        sigma: f32,
    },
    NonLocalMeans {
        h: f32,
        patch_radius: u32,
        search_radius: u32,
    },
    BilateralFilter {
        sigma_spatial: f32,
        sigma_range: f32,
    },
}

Denoise algorithm variants.

Variants

Gaussian

Gaussian spatial blur.

Parameters:

• sigma: standard deviation of the Gaussian kernel (e.g. 1.5).

Fields

sigma: f32

Standard deviation for the Gaussian kernel.

NonLocalMeans

Non-Local Means denoising.

Parameters:

• h: filter strength (higher = more smoothing, e.g. 10.0).
• patch_radius: half-size of the comparison patch (e.g. 3).
• search_radius: half-size of the search window (e.g. 10).

Fields

h: f32

Filter strength (denoising parameter h).

patch_radius: u32

Comparison patch half-radius.

search_radius: u32

Search window half-radius.

BilateralFilter

Bilateral filter (edge-preserving).

Parameters:

• sigma_spatial: spatial Gaussian standard deviation.
• sigma_range: range Gaussian standard deviation (pixel value domain).

Fields

sigma_spatial: f32

Spatial Gaussian standard deviation.

sigma_range: f32

Range (colour) Gaussian standard deviation.

Trait Implementations

impl Clone for DenoiseAlgorithm

fn clone(&self) -> DenoiseAlgorithm

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for DenoiseAlgorithm

impl Debug for DenoiseAlgorithm

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DenoiseAlgorithm

fn eq(&self, other: &DenoiseAlgorithm) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DenoiseAlgorithm