Collaboration diagram for Pipeline Modules:

Data Structures
class	ColorMatrixTransformationModule
	Color matrix transformation is an image pipeline module that applies a ColorCorrectionMatrix to an image. More...

class	DebayerModule
	Debayer is an image pipeline module that converts Bayer RAW images into standard color formats. More...

class	DownsamplingModule
	Downsampling is used to decrease the image size. More...

class	GainModule
	Image pipeline module for applying gain to the image. More...

class	HotpixelCorrectionModule
	Hotpixel correction is an image pipeline module for detecting and correcting hot pixels in camera images. More...

class	MonoConversionModule
	Mono conversion is an image pipeline module that converts images to a monochrome format. More...

class	PixelFormatConversionModule
	Pixel format conversion module that transforms images to a specified output pixel format. More...

class	SharpeningModule
	Sharpening is an image pipeline module that applies a sharpening filter to enhance image detail. More...

class	ToneCurveCorrectionModule
	Tone curve correction is an image pipeline module that applies digital black correction and inverse gamma transformation to an image. More...

class	TransformationModule
	Transformation is an image pipeline module that provides mirror and rotation functionality. More...

class	UnpackModule
	Unpack is an image pipeline module that converts packed pixel formats into corresponding unpacked Bayer or mono formats. More...

class	DownsamplingMode
	Mode parameter for the downsampling algorithm. More...

Enumerations
enum class	DownsamplingMode { BinningAverage = 0 , BinningSum = 1 , Decimation = 2 }
	Mode parameter for the downsampling algorithm. More...

Detailed Description

Core processing modules that perform specific image transformation operations.

Pipeline modules are the fundamental building blocks of the image processing pipeline. Each module encapsulates a specific image processing algorithm and can be configured independently. Modules are typically not accessed directly by users; instead, they are controlled through the higher-level Feature interfaces.

Module Categories

Format Conversion Modules

UnpackModule: Converts packed sensor data to standard formats
DebayerModule: Converts Bayer pattern data to RGB
MonoConversionModule: Converts color images to monochrome
PixelFormatConversionModule: Final format conversion and bit depth adjustment

Enhancement Modules

GainModule: Applies digital gain for brightness and white balance
SharpeningModule: Enhances image detail using edge-based filters
ToneCurveCorrectionModule: Applies gamma correction and tone mapping
ColorMatrixTransformationModule: Performs color space transformations

Geometric Transformation Modules

TransformationModule: Handles rotation and mirroring operations
DownsamplingModule: Performs binning and decimation operations

Correction Modules

HotpixelCorrectionModule: Identifies and corrects defective pixels

Note: Modules are typically accessed through Feature interfaces rather than directly. Direct module access is primarily for advanced use cases and internal pipeline logic.

Enumeration Type Documentation

◆ DownsamplingMode

enum class DownsamplingMode

strong

Mode parameter for the downsampling algorithm.

The enum holding the possible modes.

Since: ids_peak_icv 1.0

Enumerator
BinningAverage	The averaged pixel values of neighboring rows and/or columns are computed during binning.
BinningSum	The pixel values of neighboring rows and/or columns are summed during binning.
Decimation	The additional pixel values of neighboring rows and/or columns are skipped during decimation.

Definition at line 38 of file peak_icv_downsampling_module.hpp.

Data Structures

Enumerations