Video and Image Processing Blockset™ 2.5

Product Description

• Introduction and Key Features
• Modeling and Simulating Video and Imaging Systems
• Generating and Optimizing C Code
• Multimedia I/O, Video Viewer, and Display Blocks
• Video and Image Processing Algorithms
• Video and Image Analysis

Video and Image Processing Algorithms

The Video and Image Processing Blockset provides primitives for 2-D filters, transforms, and geometric transformations.

You can use the 2-D filters to perform tasks such as sharpening, smoothing, and noise removal. The 2-D transforms let you analyze the frequency content of a video stream. For example, MPEG uses the DCT to compress the video pixel information by discarding unnecessary frequency content.

The Video and Image Processing Blockset lets you:

• Implement 2-D FIR filtering of input matrix, I, using a filter coefficient matrix, H
• Output the complex fast Fourier transform in two dimensions (2-D FFT) of a real or complex input
• Rotate, resize, apply projective transformation, or translate images for alignment or image registration

Filtering, Transforms, and Geometric Primitives

The Video and Image Processing Blockset provides primitives for 2-D filters, 2-D transforms, and geometric transformations. You can use the 2-D filters to perform tasks such as sharpening, smoothing, and noise removal. The 2-D transforms let you distinguish the frequency components of a video stream. For example, MPEG uses the DCT to compress the video pixel information.

The Video and Image Processing Blockset lets you:

• Implement 2-D FIR filtering of input matrix I using filter coefficient matrix H
• Output the complex fast Fourier transform in two dimensions (2-D FFT) of a real or complex input
• Rotate, resize, or translate images for alignment or image registration

The geometric transformation blocks provide three interpolation methods: nearest neighbor, bilinear, and bicubic, and enable a trade-off between precision and performance.

Color Operations

Color operations, such as color space conversion, enable you to represent and manipulate color signals and convert between different video formats. For example, you can decouple color information from luminance and process these components separately.

The Video and Image Processing Blockset lets you:

• Convert widely used color formats, such as RGB to/from YCbCr (Rec. 601 or 709), RGB to/from HSV, RGB to/from XYZ, RGB to/from L*a*b*
• Apply or remove gamma correction from an image
• Automatically or manually change an intensity image to a binary image (binarization)
• Downsample or upsample chrominance components of images