An image brightness statistical method and imaging equipment

A technology of image brightness and statistical methods, applied in the field of image processing, can solve the problems of image brightness statistics with limited processing capacity and difficult high bit width, and achieve the effect of convenient brightness statistics

Active Publication Date: 2021-01-08
BEIJING TUSEN ZHITU TECH CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide an image luminance statistical method and an imaging device to solve the problem that current FPGA and other hardware have limited processing capabilities and it is difficult to perform luminance statistics of high-bit-width images

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
  • An image brightness statistical method and imaging equipment
  • An image brightness statistical method and imaging equipment
  • An image brightness statistical method and imaging equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] In order to facilitate understanding of the present invention, the following technical terms involved in the present invention are explained:

[0026] FPGA: Field Programmable Gate Array (Field-Programmable Gate Array). A semi-custom circuit in the field of Application Specific Integrated Circuit (ASIC for short).

[0027] Block RAM: Block Random Access Memory (Block Random Access Memory), also known as "Block Random Access Memory", is a small piece of...

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 an image brightness statistical method and an imaging device, which relate to the technical field of image processing. The method includes: obtaining the bit width of the pixel value of the image to be processed and the maximum bearable bit width of the block random access memory of the hardware device for performing brightness histogram statistics; according to the bit width of the pixel value of the image to be processed, each The pixel data is divided into multiple groups of pixel data, so that the bit width of each group of pixel data is less than or equal to the maximum acceptable bit width; according to the brightness histogram statistics of the same group of pixel data in each pixel data, the brightness corresponding to each group is obtained Histogram component: Determine the brightness evaluation value component corresponding to each group according to the brightness histogram component corresponding to each group and the pixel number of the image to be processed; determine the brightness evaluation value of the image to be processed according to each brightness evaluation value component. The present invention can conveniently perform brightness statistics for images with a high bit width to obtain brightness evaluation values.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image brightness statistical method and imaging equipment. Background technique [0002] At present, with the development of intelligent industry, robot obstacle avoidance, real-time positioning and map construction, and unmanned driving technology, cameras are widely used in these fields. Current cameras mainly rely on image sensors to obtain image information, and dynamic range is an important indicator of cameras. At present, image sensors of many manufacturers support multi-level exposure methods to obtain high-dynamic range (High-Dynamic Range, referred to as HDR) Image, the dynamic range of the current HDR image can reach 120db. A higher dynamic range means a stronger ability to obtain image details. Therefore, in order to obtain HDR images, it is necessary to accurately control the exposure time and gain of the image sensor. The premise of controlling the ex...

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 Patents(China)
IPC IPC(8): H04N5/235H04N17/00
CPCH04N17/00H04N23/741H04N5/00G06T5/009G06T5/40G06T2207/20208H04N23/70G06T1/20G06T1/60
Inventor 张瑜
Owner BEIJING TUSEN ZHITU TECH CO LTD
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