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

Video enhancement method based on super-resolution technology

A video enhancement and super-resolution technology, applied in the field of video processing, can solve problems such as algorithm failure and image processing effect reduction.

Inactive Publication Date: 2017-04-05
CHONGQING UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the algorithm requires the original image to have better clarity. If the image is noisy, the image processing effect will be significantly reduced, and if the original image is blurred, the algorithm will fail at all.

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
  • Video enhancement method based on super-resolution technology
  • Video enhancement method based on super-resolution technology
  • Video enhancement method based on super-resolution technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] The acquisition of image data (YUV 4:2:0) is completed by using an area array CCD (176×144pixels). ARM runs on the MontaVistaLinux operating system and is responsible for controlling tasks and interacting with peripherals. DSP runs on the Bios operating system for image data processing, and DDR2 is used as the external memory of DM8148. FLASH stores the source program, and the program is downloaded to ARM and DSP respectively after power-on.

[0039] The DSP of DM8148 has provided (L1 and L2) Two-level cache, can be configured as Cache or internal memory. In this solution, the L2 storage space is configured as 96K Cache and 32K internal memory, the L1 storage space is configured as 24K Cache and 8K internal memory, and the size of the Ping-pong buffer is set to 352B.

[0040] (1) Imaging the edge target on the spot, collecting an image P with a size of 64*64pixels and a contrast greater than 20% 1 , using the knife-edge method to extract the point spread function PSF...

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 video enhancement method based on the super-resolution technology. The method includes following steps: S1, obtaining a point spread function h (x, y) of an imaging system from an onsite target graph P1; S2, performing denoising and image restoration on a low-resolution image G1 acquired in an onsite manner by employing the h (x, y) and a super-Laplace regularization rapid restoration algorithm to obtain a clear image F2; S3, performing preliminary amplification on the image F2 by employing bilinear interpolation to obtain an image F3; and S3, processing the image F3 by employing the SRCNN algorithm to obtain an amplified high-quality image F4. According to the method, the image restoration algorithm and the SRCNN algorithm are combined to form a new algorithm, the DaVinci system is optimized through the algorithm, the image resolution is improved without changing a camera, and ideas are provided for the improvement of the resolution for most conventional old equipment.

Description

technical field [0001] The invention relates to the field of video processing, and relates to a video enhancement method based on super-resolution technology. Background technique [0002] Currently, image / video-based surveillance systems are an important means of security. Due to cost and volume constraints, the image quality obtained by many surveillance systems is generally poor. [0003] Super-resolution technology is mostly used when the hardware conditions of imaging equipment are limited and the image resolution cannot be improved. Super-resolution techniques include reconstruction algorithms based on a single image and reconstruction algorithms based on multiple images. In recent years, the research in the field of super-resolution is mainly aimed at the super-resolution processing of multi-frame images. Yuan Yuan et al. proposed an image super-resolution enhancement algorithm based on wavelet transform, which overcomes the shortcomings of traditional interpolatio...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00
CPCG06T3/4007G06T3/4053G06T5/70
Inventor 刘丹平何小敏秦天天毛莞丁胡小波谭晓衡印勇胡学斌蒋阳马玉霖古文邹熙肴王懿泽
Owner CHONGQING UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com