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GA/T 895-2010 PDF English

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GA/T 895-2010: Technical specification for forensic blurred image processing--Image enhancement
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GA/T 895-2010English179 Add to Cart 3 days [Need to translate] Technical specification for forensic blurred image processing--Image enhancement

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Basic data

Standard ID GA/T 895-2010 (GA/T895-2010)
Description (Translated English) Technical specification for forensic blurred image processing--Image enhancement
Sector / Industry Public Security (Police) Industry Standard (Recommended)
Classification of Chinese Standard A92
Classification of International Standard 13.310
Word Count Estimation 5,596
Date of Issue 2010-09-13
Date of Implementation 2010-10-01
Quoted Standard GA/T 592-2006; GA/T 896-2010
Regulation (derived from) Industry Standard Record Announcement No
Issuing agency(ies) Ministry of Public Security
Summary This standard specifies the basic requirements for image enhancement in fuzzy image processing. This standard applies to China judicial organs in dealing with criminal, civil cases and the handling of incidents and other activities in the image enhancement.

GA/T 895-2010: Technical specification for forensic blurred image processing--Image enhancement



---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 - Image enhancement ICS 13.310 A92 People's Republic of China Public Security Industry Standards Forensic Science blurred image processing technology specification Image Enhancement 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 Zhigang, Xu Xiaojing Li Zhihui, Yanghong Chen. Forensic Science blurred image processing technology specification Image Enhancement

1 Scope

This standard specifies the blurred image processing technology in image enhancement basic requirements. This standard applies to our judiciary in handling criminal, civil and other activities dealing with accidents in the event of image enhancement work.

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 896-2010 Forensic Science blurred image processing technology specification degraded image restoration

3 Terms and Definitions

The following terms and definitions apply to this document. 3.1 Image enhancement imageenhancement Projecting the image of useful information, enhance the visual effect of the image processing method in general. Image enhancement methods include spatial domain methods and Frequency domain methods. 3.1.1 Spatial domain methods methodsofspatialdomain Image enhancement method of image processing based on pixels directly. Representative spatial domain methods gray stretch, smoothing (as defined in Median filter and mean filter) and sharpening filtering. 3.1.2 Frequency domain methods methodsoffrequencydomain By changing the different frequency components in the image to achieve image enhancement method. In a transform domain image, the image operation, Modify transformed coefficients, such as Fourier transform coefficients, discrete cosine transform, and then inverse transform the processed image. 3.2 Contrast enhancement contrastenhancement Adjust the contrast between the color difference, the greater the ratio, the gradient level from among the more color, the richer color performance. 3.3 Spatial filtering spatialfiltering Template for image neighborhood operation, the output value of each pixel of the template image are based on the input image in the image space by means of Su neighboring pixel values is calculated to obtain the domain. ...

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