Enum DenoisingAlgorithm 

pub enum DenoisingAlgorithm {
    GaussianBlur,
    BilateralFilter,
    NonLocalMeans,
    WienerFilter,
    Wavelet,
    DeepLearning,
    Custom,
}

Denoising algorithms

Variants

GaussianBlur

Gaussian blur denoising

BilateralFilter

Bilateral filter

NonLocalMeans

Non-local means denoising

WienerFilter

Wiener filter

Wavelet

Wavelet denoising

DeepLearning

Deep learning denoising

Custom

Custom denoising

Trait Implementations

impl Clone for DenoisingAlgorithm

fn clone(&self) -> DenoisingAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DenoisingAlgorithm

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

Formats the value using the given formatter.

impl Default for DenoisingAlgorithm

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DenoisingAlgorithm

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for DenoisingAlgorithm

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for DenoisingAlgorithm

fn eq(&self, other: &DenoisingAlgorithm) -> 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 Serialize for DenoisingAlgorithm

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for DenoisingAlgorithm

impl Eq for DenoisingAlgorithm

impl StructuralPartialEq for DenoisingAlgorithm