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GA/T 896-2010 PDF English

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GA/T 896-2010: Technical specification for forensic blurred image processing--Degraded image restoration
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GA/T 896-2010English179 Add to Cart 3 days [Need to translate] Technical specification for forensic blurred image processing--Degraded image restoration

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Basic data

Standard ID GA/T 896-2010 (GA/T896-2010)
Description (Translated English) Technical specification for forensic blurred image processing--Degraded image restoration
Sector / Industry Public Security (Police) Industry Standard (Recommended)
Classification of Chinese Standard A92
Classification of International Standard 13.310
Word Count Estimation 5,582
Date of Issue 2010-09-13
Date of Implementation 2010-10-01
Quoted Standard GA/T 592-2006; GA/T 897-2010
Regulation (derived from) Industry Standard Record Announcement No
Issuing agency(ies) Ministry of Public Security
Summary This standard specifies the basic requirements for degraded image restoration in fuzzy image processing techniques. This standard applies to the judicial organs in China for criminal, civil cases and the handling of incidents and other activities in the restoration of degraded images.

GA/T 896-2010: Technical specification for forensic blurred image processing--Degraded image restoration




---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Technical specification for forensic blurred image processing - Degraded image restoration ICS 13.310 A92 People's Republic of China Public Security Industry Standards Forensic Science blurred image processing technology specification Degraded Image Restoration Issued on. 2010-09-13 2010-10-01 implementation People's Republic of China Ministry of Public Security

Foreword

This standard was drafted in accordance with GB/T 1.1-2009 given rules. Please note that some of the content of this document may involve patents. Release mechanism of the present document does not assume responsibility for the identification of these patents. This standard by the National Standardization Technical Committee of Criminal technical inspection camera Technical Committee (SAC/TC179/SC5) and focal points. This standard was drafted. Evidence Identification Center of Public Security, China Criminal Police College. The main drafters of this standard. Li Zhihui, Xu Xiaojing Li Zhigang, Yanghong Chen. Forensic Science blurred image processing technology specification Degraded Image Restoration

1 Scope

This standard specifies the blurred image processing technique could restore the basic requirements. This standard applies to the judiciary of degraded images in handling criminal, civil and other activities dealing with accidents in the event jobs.

2 Normative references

The following documents for the application of this document is essential. For dated references, only the dated version suitable for use herein Member. For undated references, the latest edition (including any amendments) applies to this document. GA/T 592-2006 Rules of Criminal digital imaging technology GA/T 897-2010 Forensic Science blurred image processing techniques to image noise specifications

3 Terms and Definitions

GA/T 897-2010 defined by the following terms and definitions apply to this document. 3.1 Image degradation imagedegradation Image formation, transmission and recording process, due to the imaging system, imperfect transmission media and devices, causing degradation of image quality, which A process known as image degradation. NOTE. The main cause of image degradation are. the optical system aberrations, diffraction, geometric distortion and nonlinear exposure during recording, defocus, undersampling, relative Sports. 3.2 Image Restoration imagerestoration Based on the research on image degradation in the degraded image as the basis, based on some prior knowledge to design a operator to estimate the processing I want to process an image state. 3.3 Degraded image degradedimage Through the process of image degradation resulting image. 3.4 Gaussian model gaussianmodel The model describes a two-dimensional Gaussian function. 3.5 The average model averagemodel The average of the input data model. ...

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