Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-source special unmanned plane reconnoitered image general compression method

A compression method and drone technology, applied in image communication, television, electrical components, etc., can solve the problems of poor intra-frame correlation, few pixels, weak inter-frame correlation, that is, weak time correlation, etc., to eliminate block effect. , targeted effect

Active Publication Date: 2013-05-15
北京北航天宇长鹰无人机科技有限公司
View PDF6 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] For multi-source and heterogeneous UAV reconnaissance images, its image compression modules are not compatible in terms of algorithms, data interface adaptation, etc.
In terms of image compression, UAV reconnaissance image data has both single-frame still images and multi-frame video images, while JPEG2000 can only compress static images, and H.264 compression standard uses DCT to restore images with obvious block effects ; and the reconnaissance targets (such as military vehicles, tanks, etc.) of interest in UAV images have fewer pixels, the intra-frame correlation is worse than ordinary images, and the inter-frame correlation, that is, the temporal correlation is not strong, and there is no such thing as H.264 standard An effective intra prediction method for this type of image

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
  • Multi-source special unmanned plane reconnoitered image general compression method
  • Multi-source special unmanned plane reconnoitered image general compression method
  • Multi-source special unmanned plane reconnoitered image general compression method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0105] Hyperspectral Image Compression:

[0106] 1. Read in the hyperspectral image pic.bmp, 2320x1296, 8809KB in size through the adapter interface, create a mapping and convert the format at the same time, and output a yuv format file, with a size of 4405KB;

[0107] 2. Divide the image into 16x16 blocks;

[0108] 3. Since it is a single frame of image information, it only needs to perform HEVC planar intra-frame prediction on the image;

[0109] 4. Subtract the predicted value from the observed value to obtain the image residual fast, and perform 9 / 7DWT transformation and quantization on the image residual;

[0110] 5. Entropy encoding the results in the previous step;

[0111] 6. Carry out image quality evaluation, comprehensively use PSNR and SSIM evaluation standards, PSNR and SSIM values ​​are shown in the figure below;

[0112] 7. The test.264 file is generated by x264 program encoding, with a size of 230KB;

[0113] The result of the operation is:

[0114] SSIM v...

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 discloses a multi-source special unmanned plane reconnoitered image general compression method, and belongs to the technical field of digital video image processing. Firstly, image video information is read through a port of a compression system and converted to a uniform format, and then an improved H264 video coding standard is used for compression coding of the information to obtain a compressed code stream. Aiming at the characteristics of multi-task-load and multi-mode work of an unmanned plane, the method can be used for compression work of video information, synthetic aperture radar (SAR) images and hyperspectral images collected by a forward looking infrared and other different devices, and after decompression, image source information is discernible, and the scheme is systematized.

Description

technical field [0001] The invention belongs to the technical field of digital video image processing, and in particular relates to a general compression method for reconnaissance images of multi-source heterogeneous unmanned aerial vehicles. Background technique [0002] There is a large amount of redundancy in reconnaissance image and video data of UAVs, including time domain redundancy, air domain redundancy, inter-spectrum redundancy, statistical redundancy and psycho-visual redundancy. In order to facilitate data storage and transmission, it is necessary to eliminate The above redundancy is compressed. [0003] Digital cameras for real-time transmission in unmanned aerial systems replace film aerial reconnaissance cameras, high-definition digital televisions replace standard televisions, forward-looking infrared sensors, multi-spectral, hyperspectral images, and high-resolution, long-range, multi-mode Synthetic Aperture Radar (SAR) is widely used on UAV platforms, so t...

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): H04N7/26H04N7/50H04N19/124H04N19/13H04N19/176H04N19/61
Inventor 丁文锐康传波李红光鲁爱英
Owner 北京北航天宇长鹰无人机科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products