| Summary: | 碩士 === 國立臺北科技大學 === 電機工程系研究所 === 102 === In recent years, car recording and reversing video system has become universal, so that people are safer on road. However, due to the quality of technology improvement, image quality requirements are also increasing, there for complexity of image compression algorithm has increased.Causingto choose between "instant image" and "image quality"；Therefore, this study will base on high-performance parallel computing technology,to improve the processing speed of the system, so reversing system can immediately send images with minimal compression.
In my thesis the video encoding is based on “Differential Pulse Code Modulation, DPCM”, Y image into grayscale and color UV, respectively, using different scaling techniques for processing, in which Y is more important so that outline for the presentation of images scale is smaller, another word the UV scale is greater, then carry on UV-bit flat down, then all of the final image through GPU computing to accelerate.
Experimental results show that the parallel of " DPCM video compression image coding" can significantly reduce the computation time and maintain image quality under improved display FPS(frames per second), andwithimplementation of Stream technology that provide by CUDA (Asynchronous Data Transfer, ADT) to reduce the overall transmission time. The experiment is displayed by the size of 1440 * 1088 pixels, GPU accelerated CPU execution time comparison can be up to 44.8 times faster.
|
|---|
