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Research And Implementation Of Image Sharpening Algorithm In OLED Driver Chip

Posted on:2016-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:H YanFull Text:PDF
GTID:2308330479493803Subject:Microelectronics and Solid State Electronics
Abstract/Summary:PDF Full Text Request
Organic light emitting display(OLED) for its feature of fast response, high resolution, wide viewing angle, high brightness, low power consumption, ultra-thin, has become a new important human-machine interactive interface devices. With the development of intelligent terminal products in the market, people have become increasingly demanding on the performance of terminal display. Therefore, using image optimization circuits to improve the performance of OLED has meet the market demand. In recent years, as an important means of enhancing the image display performance, the image sharpening technology has become a hot research at home and abroad.This paper has studied the sharpening techniques based on spatial domain. In order to adapt the features of small and medium size OLED driver chip, the paper has proposed a new image sharpening algorithms. The algorithm uses a dual detection mechanism, it can obtain more image edge information than classical methods. It uses a technology to prevent the pixel gray value overflow and avoid image distortion effectively. It uses a high-frequency noise filter to eliminate isolated noise points in the image. The algorithm can change image sharpening performance by adjusting the parameter, it’s useful to increase the flexibility of image optimization. For comparison, this paper has completed the simulation of this and traditional algorithm, has achieved its digital logic circuits. The module consists of two symmetrical sharpening circuits, it can process display data by two 18 bits channel simultaneously. The data processing speed can reach 450Mbits/s.The sharpening circuit has been integrated into the OLED driver chip after verified by the FPGA hardware platform, and taped out successfully. The verification and test results show that this algorithm achieves efficient image sharpening. Compared with traditional methods, the algorithm consumes very few resources, it’s logic unit consumption is 1731 cells, only 7.3% of the digital system. The area of the module is approximately 0.244mm2, about 6.75% of the digital system. It’s dynamic power is 560.3188 uw, about 17.2% of the system.
Keywords/Search Tags:OLED driver chip, edge detection, image sharpening, threshold
PDF Full Text Request
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