Retinex图像增强在GPU平台上的实现

doi:10.12082/dqxxkx.2019.180576

Abstract

Abstract:

With the advent of the era of UAV,the real-time requriements for massive data processing are getting higher.Achieve parallel processing of Retinex image enhancement algorithm on the GPU (Graphic Processing Unit) platform, which improves the processing speed of Retinex image enhancement algorithm for processing high resolution digital images.Firstly, by data combine-accessing and memory data interaction technology realize fast access of data, shorten the transmission time of data between different kinds of memory, and improve the efficiency of data access. Then, using kernel instruction optimization and data parallel computing technology, the multi-core programming of Retinex image enhancement algorithm on GPU platform is realized.Finally, the asynchronous execution mode of the host and the device is used to perform parallel calculation of the kernel data while data transmission, and the execution time of the algorithm on the GPU platform is further shortened by the parallel of the task level. With the powerful parallel computing power of the GPU, the processing speed of the Retinex algorithm is greatly improved. For images of different resolutions, the processing speed of the Retinex image enhancement algorithm is tens of times higher than that of the CPU platform. Processing an image with a resolution of 2048×2048 pixels requires only 38.04 ms, and the processing speed of the algorithm is 40 times higher than that of the CPU.

Key words: GPU, image enhancement, Retinex algorithm, parallel computing, UAV

Hao WANG, Hanyu WANG, Mingyu YANG, Yongsen XU. Implementation of Retinex Image Enhancement Algorithm on GPU Platform[J].Journal of Geo-information Science, 2019, 21(4): 623-629.DOI:10.12082/dqxxkx.2019.180576

Figures/Tables 7

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	信息熵	图像均值	图像标准差
原始图像1	6.7452	138.2679	45.1426
增强图像1	7.1960	157.8206	60.9217
原始图像2	5.8062	125.9326	40.8128
增强图像2	6.4915	136.2894	65.9286
原始图像3	6.2948	140.5862	51.8146
增强图像3	6.5042	150.6439	69.2931

图像大小	1024×1024	2048×1050	2048×2048
CPU处理时间①	395.80	816.73	1572.59
GPU处理时间②	13.62	23.15	38.04
①/②	29.06	35.28	41.34

Implementation of Retinex Image Enhancement Algorithm on GPU Platform

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