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GA/T 897-2010 PDF English

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GA/T 897-2010: Technical specification for forensic blurred image processing. Image denoising
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GA/T 897-2010English179 Add to Cart 3 days [Need to translate] Technical specification for forensic blurred image processing. Image denoising

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Basic data

Standard ID GA/T 897-2010 (GA/T897-2010)
Description (Translated English) Technical specification for forensic blurred image processing. Image denoising
Sector / Industry Public Security (Police) Industry Standard (Recommended)
Classification of Chinese Standard A92
Classification of International Standard 13.310
Word Count Estimation 5,581
Date of Issue 2010-09-13
Date of Implementation 2010-10-01
Quoted Standard GA/T 592-2006
Regulation (derived from) Industry Standard Record Announcement No
Issuing agency(ies) Ministry of Public Security
Summary This standard specifies the basic requirements for removing image noise in fuzzy image processing techniques. This standard is applicable to the image denoising work of the judicial organs in handling criminal and civil cases as well as dealing with accidents and other activities.

GA/T 897-2010: Technical specification for forensic blurred image processing. Image denoising



---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 denoising ICS 13.310 A92 People's Republic of China public safety industry standards Forensic science fuzzy image processing technical specifications Image to noise Imagedenoising 2010-09-13 released 2010-10-01 implementation Ministry of Public Security of People's Republic of China released

Foreword

This standard was drafted in accordance with the rules given in GB/T 1.1-2009. Please note that some of this document may be patentable. The issuing agencies of this document do not bear the responsibility of identifying these patents. This standard by the National Criminal Technical Standardization Technical Committee Examination Technical Committee (SAC/TC179/SC5) and centralized. This standard was drafted unit. Ministry of Public Security Physical Evidence Identification Center, China Criminal Police College. The main drafters of this standard. Xu Xiaojing, Li Zhigang, Li Zhihui, Yang Hongchen. Forensic science fuzzy image processing technical specifications Image to noise

1 Scope

This standard specifies the basic requirements for the removal of image noise in the fuzzy image processing technology. This standard applies to our judiciary in handling criminal cases, civil cases and incident handling activities such as image de-noise work.

2 Normative references

The following documents for the application of this document is essential. For dated references, only the dated version applies to this article Pieces. For undated references, the latest edition (including all amendments) applies to this document. Technical Code of Criminal Digital Imaging

3 Terms and definitions

The following terms and definitions apply to this document. 3.1 Noise Unrelated parts of an image that block the identification and interpretation of useful information. Note Image noise mainly comes from the image acquisition and transmission process, such as the environmental conditions of the image acquisition and the quality of the sensing components themselves. In the image The most common is Gaussian noise, there are still a large number of unknown types of noise. 3.1.1 Gaussian noise The probability density function obeys Gaussian distribution (ie normal distribution) of noise. 3.1.2 Pulsed noise pulsenoise A discontinuous class of noise consisting of irregular pulses or sharp spikes of short duration and large amplitude. Impulsive noise passes through the image Often manifested as black spots or white spots, like pepper and salt particles, it is also known as salt and pepper noise. 3.2 Image denoising imagedenoising In order to improve the visual effects of noisy images, different methods are used to reduce the image noise level for a specific type of image noise the process of. 3.2.1 Median filter medianfiltering Is a sliding window of the pixel gray value sort, with the median window instead of the original gray value of the image smoothing of the pixel method. It is a non-linear filtering algorithm. 3.2.2 Averagefiltering In the image on the target pixel to a template, the template includes the neighboring pixels around, and then all the pixels in the template average ...

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