Of Video Surveillance In The Image Enhancement Technology And Its Applications

I. Background In the fog, dust and other inclement weather or low light conditions

significantly reduce image contrast, one can not derive useful information. Moreover, the long-term view of low-quality video may increase the burden on people's eyes, prone to visual fatigue and even dizziness. In the event of heavy fog, rain, dust and other inclement weather, the outdoor scene image contrast and color will be changed or degradation of the image contains many of the features are covered or blurred by the degradation of the image, for various Monitor Have caused great difficulty, therefore, should give full play Monitoring Video performance, we must monitor the video image enhancement processing. In military reconnaissance and surveillance, in order to implement the correct command to obtain victory in war, modern War A higher military reconnaissance requirements, extensive application of advanced scientific Technology Further expand the scope of surveillance to improve the timeliness and accuracy of detection. Therefore, military reconnaissance, surveillance video used in the quality of particular importance, the degradation of video image recognition and processing of information may result in bias, but the consequences of this bias is very serious, so the video enhancement technology came into being.

2, video enhancement algorithm (Retinex algorithm) the basic principles of

Retinex (retina "Retina" and the cerebral cortex "Cortex" in the abbreviation) theory is based on scientific experiments and based on scientific analysis of the human visual system based on (HumanVisualSystem) theory of image enhancement. The basic principle of the algorithm model was first used by EdwinLand (Edwin? Rand) in 1971 proposed a theory called the color and color constancy based on the proposed image enhancement based on the theory Methods. Retinex theory of the basic content is the color of an object is an object of the long wavelength (red), medium (green) and short wave (blue) light reflectivity of the decision, rather than the absolute value of the reflected light intensity of the decision; object color not all of the effects of non-illumination, with consistency, that Retinex theory is based on a sense of consistency of color (color constancy) based.

Different from the traditional image enhancement algorithm, such as linear, nonlinear transform, image sharpening can only enhance the image of a certain class of features, such as the dynamic range compressed image, or enhance the edge of the image, Retinex can In the dynamic range compression, edge enhancement and color constancy three balanced, so can a variety of different types of images enhanced adaptability. Retinex is because many good properties, so that Retinex algorithm has been widely used in many applications.

Retinex in many to the core of the algorithm, the single-scale (Single-ScaleRetinex, SSR) algorithm, multi-scale (Multi-ScaleRetinex, MSR) algorithm is the most representative and most sophisticated algorithms.

Single scale (Single-ScaleRetinex, SSR) algorithm principle

Made under the Land theory, a given image S (x, y) decompose into two different images: reflective object image R (x, y) and incident light image L (x, y), its Schematic of the following: Schematic

For each observation point in the image S (x, y), using the formula can be expressed as:

S (x, y) = R (x, y)? L (x, y) (1)

It Retinex theory, the color of an object by object to the decision of the reflectivity of light, but objects to the reflectance of light is the inherent property of the object itself, and not the absolute value of light intensity dependence. Therefore, each pixel by calculating the relationship between the relative brightness, the image can be done in the calibration of each pixel to determine the pixel color.

Single scale (Single-ScaleRetinex, SSR) algorithm in the logarithmic domain is used for:

(2) According to the above (2) type of theory, Retinex theory of image enhancement, the key is from the original image information to calculate the effective brightness of the image L (x, y). But the brightness of the image from the original image in the mathematical calculation is a singular issue, so can only be approximated by mathematical approaches to estimating the brightness of the image. Retinex algorithm in the development of history, there have been around the inverse square of the form, exponential and Gaussian exponential, but the increase in single-scale Retinex algorithm, Jason Dobson (Jobson) demonstrated the Gaussian convolution function can be the source provide a more accurate picture of local processing, which can better enhance the image, which can be expressed as:

Equation 3 Where is the constant Matrix , C is the filter radius, and to meet:

Formula 4

Of Video Surveillance In The Image Enhancement Technology And Its Applications

By: hotxueboy

POST COMMENT

Breast Actives Before And After Pictures - Review on Breast Actives Floating Frame Picture A Special Mounting For A Special Image Capture your memories forever in a timeless Photo Book today Hidden Security Cameras-top Three Most Popular Uses The points for choosing right security cameras The infomation of wireless Security Cameras Carry Hidden Camera Detector In Tanning Salons Tips For Better Photography The Brief History Of Photography All You Need To Know About Photography How To Improve Your Landscape Photography Skills The Top 10 Tips To Get Great Pictures The Traditional Method In Photography