自适应色彩矫正图像增强算法仿真研究

摘要

Image blur often occurs when using a cell-phone camera due to handshakes or jitter. Although there exist many motion deblurring algorithms in the literature, the computational complexities of these algorithms and the assumptions considered make them unsuitable for deployment on a cell-phone camera processor. This paper presented an image blur reduction algorithm for cell-phone cameras with low computational complexity and without making any assumption about the handshake motion. This algorithm utilized one low-exposure image in addition to a blurred im age to perform a blur reduction operation via tonal correction. The developed tonal correction approach was adaptive to the scene by taking into consideration the brightness and contrast of the blurred image. The results obtained indicate the effectiveness of this blur reduction algorithm for handshake blurred images captured by a cell-phone camera.%研究图像增强优化问题,由于大量的图像由于拍照抖动产生噪声,造成图像模糊问题,而传统的去除图像运动模糊的算法,具有计算复杂度过高和特定的假设条件的局限,为了改善图像视觉效果,提出了一种改进的计算量小的自适应矫正图像增强算法,利用模糊图像作为参考,对欠曝光图像进行非线性自适应色调矫正.首先利用非线性函数对不同通道颜色进行调节,然后使用自适应方法对亮度进行矫正仿真,得到最终清晰图像.仿真结果表明改算法可以有效增强图像,改善了图像的质量,具有一定的实际应用价值.