public static void DenoiseTVL1(
	Mat[] observations,
	Mat result,
	double lambda,
	int niters
)

Public Shared Sub DenoiseTVL1 ( 
	observations As Mat(),
	result As Mat,
	lambda As Double,
	niters As Integer
)

public:
static void DenoiseTVL1(
	array<Mat^>^ observations, 
	Mat^ result, 
	double lambda, 
	int niters
)

static member DenoiseTVL1 : 
        observations : Mat[] * 
        result : Mat * 
        lambda : float * 
        niters : int -> unit 

Parameters

observations

Type: Emgu.CVMat
This array should contain one or more noised versions of the image that is to be restored.

result

Type: Emgu.CVMat
Here the denoised image will be stored. There is no need to do pre-allocation of storage space, as it will be automatically allocated, if necessary.

lambda

Type: SystemDouble
Corresponds to in the formulas above. As it is enlarged, the smooth (blurred) images are treated more favorably than detailed (but maybe more noised) ones. Roughly speaking, as it becomes smaller, the result will be more blur but more sever outliers will be removed.

niters

Type: SystemInt32
Number of iterations that the algorithm will run. Of course, as more iterations as better, but it is hard to quantitatively refine this statement, so just use the default and increase it if the results are poor.

Reference