VS6724 datasheet(16/118 Pages) STMICROELECTRONICS

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Functional description

VS6724

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2.4.9

Defect correction 1 & 2

The input to the defect correction filters is a 5x5 pixel matrix from which a centre pixel and a

neighborhood of 8 pixels is extracted. The 8 pixel neighborhood is used to determine the

validity of the corresponding centre pixel. This is achieved using the ranked output of a

Batcher-Banyan sort architecture. The defect correction filters perform both detection and

weighted correction on all data. Defect correction 1 is weighted to work horizontally and

vertically. Defect correction 2 is weighted to operate on the diagonal elements.

2.4.10

Spatial noise reduction

The noise reduction module implements an algorithm based on the human-visual system

and adaptive pixel filtering that reduces perceived noise in an image whilst maintaining

areas of high definition.

2.4.11

Interpolation

The interpolation module converts Bayer pixel data to RGB and applies an anti-alias filter to

the data. It also generates the sharp data used in the aperture correction block.

2.5

Color engine (CE block)

The role of the CE is to process the RGB data from the recovery engine into a specific

format requested by the host, e.g. RGB565 for LCD display, or YCbCr for the JPEG encoder.

2.5.1

Color matrix

A matrix color correction transform is performed on the outputs of the scaler, the matrix is

detailed in

Figure 6.

Color matrix

The matrix equations are:

Ro = Rin.rcof00 + Gin.rcof01 + Bin.rcof02

Go = Rin.rcof10 + Gin.rcof11 + Bin.rcof12

Bo = Rin.rcof20 + Gin.rcof21 + Bin.rcof22

Note:

The neutral-preserving (“eigen-grey”) property of the matrix can be achieved by ensuring

the matrix rows sum to unity.

rcof00

rcof10

rcof20

rcof01

rcof11

rcof21

rcof02

rcof12

rcof22

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