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Research and Circuit Design of Video Image Enhancement Algorithm
Author: GuoWei
Tutor: LiBinQiao
School: Tianjin University
Course: Microelectronics and Solid State Electronics
Keywords: Image Enhancement Denoising Adaptive Filter Unsharp Mask Color Space Color Temperature
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 71
Quote: 0
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Abstract
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As one of the core chips in digital TV, Video Signal Processing Chip can convert different input video formats into target formats, which has the function of frame rate up, de-interlacing, scaling, and image enhancement etc.The main role of the image enhancement unit in image processing is to improve visual effect. It is composed of image quality improvement, brightness adjustment, contrast adjustment, gamma correction, color space conversion and color temperature adjustment. The thesis focuses on the design and implement of image enhancement unit, including image quality improvement module and color temperature adjustment module.For the image quality improvement module, the thesis firstly brings forwards an adaptive edge preserving weighted mean filter based on extreme through researching and analyzing the current video image denoising algorithms. This algorithm can keep edges and details of the image on the basis of removing pepper noise. Then, the thesis proposes an unsharp masking technique with Gaussian noise suppression through analyzing and comparing various edge detection operators. This technique can remove Gaussian noise in the uniform areas and avoid excessive overshoot in the detail areas. After that, the thesis presents an image quality improvement method based on these two algorithms above. This method can remove both pepper noise and Gaussian noise at the same time on the basis of edge sharpening, and the quality of the image can be improved obviously. The hardware circuit of this algorithm is analyzed and designed.For the color temperature adjustment module, the thesis proposes a color temperature adjustment algorithm on the basis of researching on color space conversion and definition of color temperature. This algorithm is also implemented in the paper.Finally, this paper conducts the function simulation and verification for both image quality improvement module and color temperature adjustment module. Some simulation results and implement pictures are given.
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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