| Summary: | 碩士 === 國防大學理工學院 === 空間科學碩士班 === 97 === Through the aerial sensor, the light is always reflected from ground and received from multi-lens during the effect of cloud, mist, and spotlight. This is one of reasons causing the unacceptable image quality, and the resistance of interpretation and mapping. The most of resistance of interpretation-and-mapping conditions is the distribution of concentrated gray pixel values. Therefore, the dynamic rage cannot be show fully when the image is showed in the monitor. Recently, there have been many studies for image enhancement algorithms, and solved some problems. But, the storage of aerial photo scanned with 1800 dpi is usually about 800 MB. So, the process time is being considered while the algorithms are executed. For improving the efficiency of imagery enhancement, this study tried to improve the executed complexity problem of Retinex algorithm. We execute the blured computation in Discrete Cosine Transform (DCT) frequency domain to improve execution time, and use histogram determination and color restoration to improve color display. From the experiment results, our proposed algorithm can reduce execution time substantially, and the performance in imagery color and saturation are better than SSR (Single-Scale Retinex) and MSR (Multi-Scale Retinex) algorithm.
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