Local Dimming Algorithm of Automotive LCD Instrument Based on Otsu and Maximum Entropy

• Published in: Journal of nanomaterials Vol. 2022; no. 1
• Main Authors: Liu, Tianfu, Tang, Chunqiu
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Backlights; Brightness; Dimming; Energy consumption; Entropy (statistics); Error correction & detection; Image contrast; Image processing; Interpolation; Light emitting diodes; Maximum entropy method; Maximum principle; Nanomaterials; Weighting methods
• ISSN: 1687-4110; 1687-4129; 1687-4129
• DOI: 10.1155/2022/5244088

In order to reasonably reduce the energy consumption of automotive LCD instrument and improve the display quality, a new local dimming algorithm is proposed in this paper. Firstly, the gray image of the input image is obtained by using the maximum principle, and then, the LED backlight brightness value is obtained by using Otsu method and maximum entropy method. The BMA backlight smoothing algorithm is improved by combining bilinear interpolation algorithm, and the dimming image is obtained by using pixel compensation algorithm based on logarithm. Then, for low brightness images, high brightness images, low contrast images, and high contrast images, typical algorithms are used to simulate and compare, and the image processing effects of various local dimming algorithms are analyzed. Finally, the entropy weight method is used to objectively evaluate the local dimming algorithm. The results show that the new local dimming algorithm reduces the energy consumption and improves the display quality, which verifies the effectiveness of the proposed algorithm.