A driving apparatus for plasma display panel and a gray level expressing method thereof that reduces pseudo-contour. A row average gray level value is calculated through simulation after displaying a test image with different gray levels, and the respective gray levels are classified into a plurality of gray level groups according to the probability of pseudo-contour. The gray level conversion is performed differently according to the plural gray level groups. The gray level values of two frames input consecutively and the illuminating patterns of the subfields are compared to detect the pseudo-contour, and the detecting result is applied to the gray level groups to perform the different gray level conversions.

Driving apparatus for plasma display panel and a gray level expressing method thereof

The Steinberg group over a ring along an arbitrary set is defined. Its properties,structure, and isomorphism theory are studied.

无限的 steinberg 组

The conventional error diffusion (CED) method adopted in digital display devices is simply modified from Floyd-Steinberg error diffusion method, which will degrade image quality by introducing nonlinear distortion (worm artifacts), linear distortion (sharpening), noise and the loss of image details. To overcome the shortcomings of the CED method, this paper proposes 3-dimensional (3D) error diffusion method based on edge detection. The proposed method diffuses quantization errors to the neighbor pixels of current frame and the neighbor pixel of the next frame. And the weights of error filters are dynamically adjusted based on the results of edge detection in each pixel's processing, which makes the weights coincide with the local edge feathers of input image. Simulation and experimental results show that the 3D error diffusion method can reduce worm artifacts and improve reproduction precision of image details.

3-dimensional error diffusion method based on edge detection for digital display devices

A method for reducing dynamic false contour in a plasma display panel (PDP) comprising the steps of selecting gray scales of different visual concentration series from all of gray scales available to be shown on said PDP to form a visual concentration conversion table, selecting at least one of said visual concentration series as a virtual visual concentration series, and converting original input value of gray scale of each discharge unit into corresponding gray scales of different visual concentration series and virtual visual concentration series, while showing each field of a dynamic image on said PDP, in order to average visual concentration difference between gray scales of two adjacent discharge units on the dynamic field into a smaller one.

Method and apparatus for reducing dynamic false contour in plasma display panel by decreasing visual concentration difference

The image quality suffers from the lack of grayscale expression capability when the simple accumulation of light emission is applied to express grayscale in alternating current plasma display panels (ac PDP). To solve the problem, an adaptive subfield coding (ASC) method for driving ac PDP is proposed, in which subfield vector is adaptively figured out based on the normalized histogram of input image every television field. The calculated subfield vector can express the most grayscale information of input image. And then the number of sustain pulses in each subfield is adjusted according to the calculated subfield vector. Simulation results show that the proposed method can eliminate the dynamic false contours in ac PDPs and overcome the lack of grayscale expression capability caused by the simple-accumulation-lighting-mode. It could provide good grayscale expression in ac PDPs.

An adaptive subfield coding method for driving AC PDPs

PDP(Plasma display panel) represents the gray levels by the pulse number modulation technique that results in undesirable dynamic false contours on moving images. This paper proposes a LUT(Look‐up table) based error diffusion algorithm for reduction of the dynamic false contours. A quantitative measure of the dynamic false contours is defined first. The measure of the dynamic false contours is calculated through simulation of every gray level combination of two consecutive frames. Based on the calculated measures, a modified gray level for a pair of gray levels of two consecutive frames is chosen to reduce the dynamic false contours. The chosen gray levels serve as contents of a gray level conversion LUT. Given a pair of gray levels of two consecutive frames, the gray level of current frame is modified based on the gray level conversion LUT. The new gray level is displayed on PDP. An error diffusion algorithm is, then, applied to compensate for the differences in the gray levels.

https://www.tandfonline.com/doi/pdf/10.1080/15980316.2001.9651855

A look‐up table based error diffusion algorithm for dynamic false contour reduction of plasma display panels

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A look‐up table based error diffusion algorithm for dynamic false contour reduction of plasma display panels