کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
848967 | 909256 | 2015 | 5 صفحه PDF | دانلود رایگان |
This article addresses the problem of color image enhancement for edge information protection. A new nonlinear adaptive enhancement (NNAE) algorithm is presented to resolve the problem in parallel procedure for low or high intensity and poor contrast (LIPC or HIPC) images. The NNAE algorithm consists of three steps. First, a RGB color image is converted to an intensity image, then an adaptive intensity adjustment with local contrast enhancement is performed parallelly, by using a single scale shift-variant Gaussian bilateral filter and the second order Taylor series expansion approximation technology, and finally colors are restored. A significant advantage of NNAE is that the edge information of enhanced images can be enhanced or preserved for LIPC or HIPC images. NNAE is only compared with Parallel Nonlinear Adaptive Enhancement (PNAE) algorithms. The experimental results show that the visual effects of NNAE are same or better than PNAE, and the enhanced images have more edges information changes by NNAE.
Journal: Optik - International Journal for Light and Electron Optics - Volume 126, Issue 3, February 2015, Pages 368–372