Temporal Noise Reduction

Performs temporal noise reduction in a sequence of images. More...

Enumerations
enum	VPITNRPreset
	Defines scene presets for temporal noise reduction. More...
enum	VPITNRVersion
	Defines the version of the Temporal Noise Reduction algorithm to be used. More...

Functions
VPIStatus	vpiCreateTemporalNoiseReduction (VPIBackend backend, uint32_t width, uint32_t height, VPIImageFormat imgFormat, VPITNRVersion version, VPITNRPreset preset, float strength, VPIPayload *payload)
	Creates a payload for Temporal Noise Reduction algorithm. More...
VPIStatus	vpiSubmitTemporalNoiseReduction (VPIStream stream, VPIPayload payload, VPIImage prevFrame, VPIImage curFrame, VPIImage outFrame)
	Submits a Temporal Noise Reduction operation to the stream associated with the given payload. More...

Detailed Description

Performs temporal noise reduction in a sequence of images.

Enumeration Type Documentation

VPITNRPreset

enum VPITNRPreset

#include <vpi/algo/TemporalNoiseReduction.h>

Defines scene presets for temporal noise reduction.

These presets are used by Temporal Noise Reduction to define its internal parameters suitable for noise reduction of scenes captured with given characteristics.

Enumerator
VPI_TNR_PRESET_DEFAULT	Default preset, suitable for most scenes.
VPI_TNR_PRESET_OUTDOOR_LOW_LIGHT	Low light outdoor scene.
VPI_TNR_PRESET_OUTDOOR_MEDIUM_LIGHT	Medium light outdoor scene.
VPI_TNR_PRESET_OUTDOOR_HIGH_LIGHT	Bright light outdoor scene.
VPI_TNR_PRESET_INDOOR_LOW_LIGHT	Low light indoor scene.
VPI_TNR_PRESET_INDOOR_MEDIUM_LIGHT	Medium light indoor scene.
VPI_TNR_PRESET_INDOOR_HIGH_LIGHT	Bright light indoor scene.

Definition at line 82 of file TemporalNoiseReduction.h.

VPITNRVersion

enum VPITNRVersion

#include <vpi/algo/TemporalNoiseReduction.h>

Defines the version of the Temporal Noise Reduction algorithm to be used.

Higher version numbers usually achieve better quality. Some versions might not be available for a given device/backend.

Enumerator
VPI_TNR_DEFAULT	Chooses the version with best quality available in the current device and given backend.
VPI_TNR_V1	Version 1, without scene control and somewhat poor noise reduction capability specially in dark scenes, but runs fast.
VPI_TNR_V2	Version 2, offers noise reduction strength control with decent processing speed.
VPI_TNR_V3	Version 3, offers quite good quality overall, specially in dark scenes.

Definition at line 97 of file TemporalNoiseReduction.h.

Function Documentation

vpiCreateTemporalNoiseReduction()

VPIStatus vpiCreateTemporalNoiseReduction	(	VPIBackend	backend,
		uint32_t	width,
		uint32_t	height,
		VPIImageFormat	imgFormat,
		VPITNRVersion	version,
		VPITNRPreset	preset,
		float	strength,
		VPIPayload *	payload
	)

#include <vpi/algo/TemporalNoiseReduction.h>

Creates a payload for Temporal Noise Reduction algorithm.

This function allocates all resources needed by the algorithm and ties the returned payload to the given backend.

Parameters

[in]	backend	VPI backend where the algorithm will be executed.
[in]	width,height	Dimensions of frames to be processed.
[in]	imgFormat	Format of the images to be processed.
[in]	version	Version of the algorithm to be used.
[in]	preset	Scene preset to be used.
[in]	strength	Noise reduction strength. It's a floating point value between 0 and 1, inclusive.
[out]	payload	Pointer to memory where the created payload handle will be written to.

Returns

VPI_SUCCESS if payload was created successfully, or some other VPIStatus value in case of error.

vpiSubmitTemporalNoiseReduction()

VPIStatus vpiSubmitTemporalNoiseReduction	(	VPIStream	stream,
		VPIPayload	payload,
		VPIImage	prevFrame,
		VPIImage	curFrame,
		VPIImage	outFrame
	)

#include <vpi/algo/TemporalNoiseReduction.h>

Submits a Temporal Noise Reduction operation to the stream associated with the given payload.

Parameters

[in]	stream	The stream where the operation will be queued in.
[in]	payload	Payload to be submitted along the other parameters.
[in]	prevFrame	When processing the first frame of a video sequence, this must be NULL. For subsequent frames, user must pass the result of the previous run of the algorithm.
[in]	curFrame	Current frame to be processed.
[in]	outFrame	Output frame, where de-noised image will be written to.

Returns

VPI_SUCCESS if algorithm was submitted successfully, or some other VPIStatus value in case of error. Some errors will only be reported asynchronously by synchronization functions or subsequent algorithm submissions.