Quality Metrics of Simulated Intensity Images of Coherent Ladar
Image quality metrics is an important aspect in image processing of ladar. Three quality metrics, including peak signal to noise ratio (PSNR), structural similarity (SSIM) index and speckle index (SI), are utilized to evaluate the intensity images of ladar in this paper, and the influence of quality metrics caused by different carrier to noise ratio (CNR) and different structures of images are analyzed. The results show that SSIM can accurately evaluate the image quality degraded by noise, and it is basically consistent with visual evaluation. PSNR can reflect the degree of image degraded by noise but can not reflect the decrease degree of image quality. SI can evaluate the residual degree of speckle noise which can be the criterion to weigh the uniformity of target gray values.
coherent ladar intensity image image quality metrics Structural Similarity index
Zhi-Wei Xia Qi Li Qi Wang
National Key Laboratory of Science and Technology on Tunable Laser, Harbin Institute of Technology Harbin, China
国际会议
2012 International Conference on Optoelectronics and Microelectronics(2012光电子与微电子国际学术会议 2012 ICOM)
长春
英文
214-216
2012-08-23（万方平台首次上网日期，不代表论文的发表时间）