Fractal and H.264-based hyper-spectral image compression method

A technology of hyperspectral image and compression method, applied in the field of hyperspectral image compression, can solve the problems of spectral redundancy and spatial redundancy.

Active Publication Date: 2014-01-08
丰县新中牧饲料有限公司
View PDF4 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is spatial redundancy in the spatial image dimension of hyperspectral

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fractal and H.264-based hyper-spectral image compression method
  • Fractal and H.264-based hyper-spectral image compression method
  • Fractal and H.264-based hyper-spectral image compression method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0059] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0060] The present invention proposes a hyperspectral image compression method based on fractal and H.264. First, the hyperspectral image cube data volume is converted into YUV format video and sent to the encoder. The I frame of hyperspectral video uses the H.264 fast intra prediction mode discrimination method based on macroblock flatness to perform intra prediction to remove the spatial correlation of hyperspectral images; P frame of hyperspectral video performs block motion estimation / Compensate fractal coding to remove the correlation between spectra of hyperspectral images. The various tree-structured blocks of P-frame coding macroblocks are first searched for the best matching block in the reference frame by the MSE criterion, the iterative function system coefficient of each block is determined, and then the rate-distortion costs of all b...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a fractal and H.264-based hyper-spectral image compression method. The method comprises the following steps: firstly, converting a hyper-spectral image data cube into video of a YUV (Luma and Chroma) format and transmitting into a coder; performing intra-frame prediction on I frame of the hyper-spectral video by using a macro block flatness-based H.264 fast intra-frame prediction mode discrimination method to remove spatial correlation of a hyper-spectral image; performing block motion estimation/complementary fractal coding on P frame of the hyper-spectral video to remove spectral correlation of the hyper-spectral image; searching optimal matching blocks from a reference frame for various blocks of tree structures of the P frame coded macro block by an MSE (Mean Square Error) criteria, determining an iterative function system coefficient of each block, comparing the rate distortion costs of all block division modes, taking the block division mode with the least rate distortion rate as the final inter-frame coding mode, and recording a final fractal parameter; finally coding and writing residual data of the I frame and the P frame into a code stream by entropy coding CABAC after DCT (Discrete Cosine Transformation) and quantization, wherein the fractal parameter of the P frame is also subjected to CABAC entropy coding.

Description

Technical field: [0001] The invention belongs to the field of hyperspectral image compression. Aiming at the spatial correlation and interspectral correlation existing in hyperspectral images, a hyperspectral image compression method based on fractal and H.264 is proposed. The compression speed of hyperspectral images has been accelerated and the compression ratio has been improved. Background technique: [0002] Hyperspectral technology is the frontier of remote sensing technology in the 21st century and one of the focuses of today's remote sensing community. It organically combines traditional two-dimensional imaging remote sensing technology and spectral technology, and uses imaging systems to obtain spatial information of measured objects. At the same time, through the spectrometer system, the radiation of the measured object is decomposed into spectral radiation of different wavelengths, and dozens or even hundreds of continuous carrier segment information of each pixel...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N19/13H04N19/176H04N19/567H04N19/61
Inventor 祝世平赵冬玉
Owner 丰县新中牧饲料有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap