Image Sharpening Algorithm and Implementation for Small Size TFT-LCD

GUO Zhen-hua; WEI Ting-cun

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Image Sharpening Algorithm and Implementation for Small Size TFT-LCD

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Image Sharpening Algorithm and Implementation for Small Size TFT-LCD
- Chinese Journal of Liquid Crystals and Displays Vol. 24, Issue 5, Pages: 756-761(2009)
- 作者机构：
  
  西北工业大学计算机学院,陕西西安 710072,E-mail: gomputer@163.com
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Received：25 March 2009，
  
  Revised：02 January 1900，
  
  Published Online：30 October 2009，
  
  Published：30 October 2009
- 稿件说明：
移动端阅览
郭振华;魏廷存. 适用于小尺寸TFT-LCD的图像锐化算法及其硬件实现[J]. 液晶与显示, 2009,24(5): 756-761

GUO Zhen-hua;WEI Ting-cun. Image Sharpening Algorithm and Implementation for Small Size TFT-LCD[J]. 液晶与显示, 2009,24(5): 756-761
郭振华;魏廷存. 适用于小尺寸TFT-LCD的图像锐化算法及其硬件实现[J]. 液晶与显示, 2009,24(5): 756-761 DOI：

GUO Zhen-hua;WEI Ting-cun. Image Sharpening Algorithm and Implementation for Small Size TFT-LCD[J]. 液晶与显示, 2009,24(5): 756-761 DOI：

摘要

针对小尺寸TFT-LCD驱动控制芯片的结构特点

提出了一种适用于小尺寸TFT-LCD的新型图像锐化算法。在传统的反锐化掩膜算法中考虑了人眼的视觉系统特性

加入了能量色散滤波器

进而提高了图像锐化效果

降低了锐化噪声

减小了灰度溢出

同时也避免了色彩失真现象。所提出的算法简单且易于硬件实现

硬件开销小

还可以通过寄存器配置锐化强度等参数

以实现显示画质的优化和微调

尤其适应于手机等小尺寸TFT-LCD显示终端应用。

Abstract

An image sharpening algorithm for small size TFT-LCD was proposed based on the architecture character of one-chip TFT-LCD driver IC. The proposed algorithm uses a novel unsharp masking algorithm. By considering the characteristics of the human visual system and adding the energy dispersion filter

the proposed algorithm improves the sharpen result by reducing the noise and overshoot artifacts and avoiding the color distortion. The proposed algorithm is easy to be implemented and has a very low hardware cost

furthermore

the quality of image can be optimized by adjusting registers values. The proposed algorithm especially suits for small size TFT-LCD devices

such as cell phone

etc.

关键词

Keywords

references

. Messing D S, Daly S. Improved display resolution of subsampled colour images using subpixel addressing //Proc. IEEE Int. Conf. Image Processing, New York, USA:IEEE, 2002:625-628.

. Mitra S K, Li H. A new class of nonlinear filters for image enhancement //Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, Toronto:IEEE, 1991:2525-2528.

. Ramponi G, Strobel N, Mitra S K. Nonlinear unsharp masking methods for image contrast enhancement [J]. Electron. Imag.,1996, 5(3):353-366.

. Polesel A, Ramponi G, Mathews V J. Image enhancement via adaptive unsharp masking [J]. IEEE Trans. on Image Processing, 2000, 9(3):505-510.

. Chin Y J, Berger T. A software-only video codec using pixelwise conditional differential replenishment and perceptual enhancements [J]. IEEE Trans. Circuits Syst. Video Technol., 1999, 9(3):438-450.

. De Vries F P. Automatic, adaptive, brightness independent contrast enhancement [J]. IEEE Trans. Signal Processing, 1990, 21(2):169-182.

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