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Improved error diffusion algorithm for gray scale in a color FED

机译:彩色FED中灰度级的改进误差扩散算法

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In a field emission panel, the driving voltage is still a little high. Therefore, only a few driving chips with high voltage can be used. However, the clock frequency of these high voltage chips is normally not high enough. Thus, the image quality has to be decreased with the normal driving method. For example, we use only 5 bit data to display the video image in a FED panel. As we known, the 8 bit data can give 256 grey scales. If only 5 bit data are used, a few information of the video image will be lostIn this paper, the error diffusion method is used to improve the image quality in a FED. The tradition algorithm of error diffusion is Floyd-Stenberg Algorithm [1]. But there is still serious flicker in the picture just using die Floyd-Stenberg Algorithm to deal with the rounding error. Combining with the concrete applying on the FED panel drive circuit, some improvement on the error diffusion have been obtained in this paper. The rounding error not only diffuses to the frame just scanning, but also to the next frame. 3/4 of the rounding error diffuses to the frame just scanning, 1/4 to the next frame, as shows in picture 1.Picture 2 shows how to realize the improved error diffusion. We can realize it with four main modules: 1) Row FIFO, 2) Frame FIFO, 3) FIFO Control Module, 4) Error Diffusion Adder. The first row, the first column and the last column are specially dealt with "bypass" without considering the error diffusion, because they do not have the full round pixels. It could be clearly seen from the timing wave in picture 3.In this paper, we use ALTERA ACEX1K100 FPGA as the error diffusion circuit. It can be simply realized RGB (each 5 bit) by using three same circuits to deal with RGB signal respectively. Using the improved error diffusion drive circuit, only 5 bit data can achieve nearly 256 gray scales high quality picture.
机译:在场发射面板中,驱动电压仍然有点高。因此,只能使用少数几个高压驱动芯片。但是,这些高压芯片的时钟频率通常不够高。因此,必须通过常规驱动方法来降低图像质量。例如,我们仅使用5位数据在FED面板中显示视频图像。众所周知,8位数据可以给出256个灰度。如果仅使用5位数据,视频图像的一些信息将丢失 在本文中,误差扩散方法用于改善FED中的图像质量。误差扩散的传统算法是Floyd-Stenberg算法[1]。但是,仅使用Floyd-Stenberg算法处理舍入误差,图片中仍然存在严重的闪烁。结合在FED面板驱动电路上的具体应用,本文在误差扩散方面取得了一些改进。舍入误差不仅会扩散到刚扫描的帧,还会扩散到下一帧。舍入误差的3/4扩散到刚扫描的帧,1/4扩散到下一帧,如图1所示。 图2显示了如何实现改进的误差扩散。我们可以通过四个主要模块来实现它:1)行FIFO,2)帧FIFO,3)FIFO控制模块,4)错误扩散加法器。由于第一行,第一列和最后一列不具有完整的圆形像素,因此在不考虑误差扩散的情况下专门对其进行“旁路”处理。从图3中的定时波可以清楚地看到。 在本文中,我们使用ALTERA ACEX1K100 FPGA作为误差扩散电路。通过使用三个相同的电路分别处理RGB信号,可以简单地实现RGB(每个5位)。使用改进的误差扩散驱动电路,仅5位数据就可以实现近256灰度等级的高质量图像。

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