Demura data lossless compression and decompression method of OLED screen

Abstract

A Demura data lossless compression method of an OLED screen comprises performing Demura data Huffman coding lossless compression for R, G, B. The data compression method comprises the steps of: analyzing the gray scale of the read Demura image data, and counting the frequency of occurrence of each gray scale; performing the construction of the Huffman tree according to the frequency of each gray scale sorted according to the current Demura image data; performing a binary Huffman encoding on the constructed Huffman tree; and replacing the corresponding gray scale value in the original Demura image data with a Huffman encoded value. The invention adopts Huffman coding lossless compression to ensure the accuracy requirement in the Deumra process. Due to the characteristics such as the particularity of Demura data, relatively concentrated gray scale distribution and a higher ratio of the gray scale data with high frequency, the compression ratio of the encoded data is relatively high, andthe cost is saved.

Description

technical field [0001] The invention relates to a method for compressing OLED screen Demura data, in particular to a method for lossless compression and decompression of OLED screen Demura data. Background technique [0002] Huffman coding is a kind of variable word length coding. It is a coding method proposed by Huffman in 1952. This method completely constructs the codeword with the shortest average length of different prefixes based on the occurrence probability of characters. The Huffman tree, also known as the optimal binary tree, is a binary tree with the shortest weighted path length. [0003] An image can be defined as a two-dimensional function f(x, y), where x and y are space plane coordinates, and the size of any pair of coordinate axes (x, y) corresponding to f is called the image at this point. Intensity or gray scale, that is, gray scale refers to the grade of the intensity of electromagnetic radiation of ground objects on black and white images, and is the s...

AI Technical Summary

Problems solved by technology

[0004] During the production process of the OLED screen, there is a phenomenon of mura (uneven brightness) in the distribution of the luminance of the OLED screen, which needs to be repaired by Demura to make the brightness distribution more uniform. data, and the large-capacity OLED FLASH is relatively expensive, so it is necessary to compress the Demura data to achieve the purpose of saving costs and facilitating processing

Traditional Demura compression uses lossy compression, which can reduce the cost of FLASH to a certain extent, but because it uses a lossy compression method, it loses the accuracy of Demura and cannot achieve better results

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