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To solve the non-uniformity problem of multi Time Delay Integral Charge Couple Device (TDICCD) mosaic camera, a non-uniformity correction algorithm is proposed and implemented on Field-Programmable Gate Array (FPGA) platform. Firstly, the generation and definition of non-uniformity are introduced; several common non-uniformity correction methods are discussed. Secondly, the correction algorithm is...
A real-time image defogging processing method based on FPGA is proposed to increase low-contrast of the aerial images in foggy vision conditions. According to the high similarity of the contiguous frame histogram in video image, the histogram equalization algorithm is improved to enhance the image contrast. The median filter algorithm is used to eliminate the noise of the image. The experimental results...
The major drawback of real-time environment matting method is that the extracted environment matte data often contains significant amount of noise and errors. Although some filtering methods have been employed to remove the noise and obtain acceptable composition results, they are incapable of removing potential errors. In this paper, we first establish a light motion field to better describe the...
The problem of finding a match for an image (`template') within a larger image is known as template matching. It is key to a variety of computer vision applications. Currently known template matching algorithms run in fixed time, or are guaranteed to find the best match. We present a novel algorithm which in many cases can guarantee that the best match is found. In other cases it finds a good approximation...
The paper discussed how improve the detection probability of small targets in the complicated background of low signal noise ratio, algorithm of an improved image enhancement and digital filtering are presented for improve image quality, and improve signal to noise ratio, that is achieve the suppressing background noise and enhance the purpose of small targets. For requirements of real-time infrared...
Detecting and segmenting moving object is an important subject in computer visual analysis. Firstly, this paper discusses algorithms of detecting moving target from static background in video sequences. Secondly, as the existing mixture Gaussian models can't solve the problems such as ghost and real-time application, a new method based on moving edge detection of difference between adjacent frames...
This paper presents an efficient motion adaptive de-interlacing technique that consists of two main steps, i.e. 4-field extended Gaussian filtering motion detection and adjustable window ELA de-interlacing. Four consecutive interlaced fields are used to detect motion accurately. With a Gaussian filter, the motion detection can eliminate the influence of noise. An adjustable window ELA de-interlacing...
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