Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A novel simultaneous dynamic range compression and local contrast enhancement algorithm for digital video cameras | Tsai and Chou EURASIP Journal on Image and Video Processing 2011 2011 6 http content 2011 1 6 D EURASIP Journal on Image and Video Processing a SpringerOpen Journal RESEARCH Open Access A novel simultaneous dynamic range compression and local contrast enhancement algorithm for digital video cameras Chi-Yi Tsai and Chien-Hsing Chou Abstract This article addresses the problem of low dynamic range image enhancement for commercial digital cameras. A novel simultaneous dynamic range compression and local contrast enhancement algorithm SDRCLCE is presented to resolve this problem in a single-stage procedure. The proposed SDRCLCE algorithm is able to combine with many existent intensity transfer functions which greatly increases the applicability of the proposed method. An adaptive intensity transfer function is also proposed to combine with SDRCLCE algorithm that provides the capability to adjustably control the level of overall lightness and contrast achieved at the enhanced output. Moreover the proposed method is amenable to parallel processing implementation that allows us to improve the processing speed of SDRCLCE algorithm. Experimental results show that the performance of the proposed method outperforms three state-of-the-art methods in terms of dynamic range compression and local contrast enhancement. Keywords low dynamic range image enhancement dynamic range compression local contrast enhancement statistics of visual representation quantitative evaluation. 1. Introduction In recent years digital video cameras have been employed not only for video recording but also in a variety of image-based technical applications such as visual tracking visual surveillance and visual servoing. Although video capture becomes an easy task the images taken from a camera usually suffer from certain defects such as noises low dynamic range LDR poor contrast color distortion etc. As a result the study of image enhancement to improve visual quality has gained
