基于模糊形态筛和四元数的水下彩色图像增强

水下彩色图像增强是水下视觉领域的一个重要问题.其中,照明引起的非均匀亮度往往严重影响了对水下图像增强的效果.首先运用彩色模糊形态筛改善非均匀照明情况,然后通过围绕水体色彩的四元数几何旋转,将水下背景像素赋予灰度或低饱和度色彩,而目标像素色彩保持不变,从而扩大前景目标与背景的差别.实验结果对比表明,新的彩色水下图像增强算法修正了水下图像的色彩不平衡,更适于处理水下图像的亮度不均匀情况.

Underwater color image enhancement based on quaternion and fuzzy morphological sieves

Underwater color image enhancement is an important issue in underwater vision field.The non-uniform brightness caused by illumination often severely affects the image enhancement effect in underwater image processing.In this paper,color fuzzy morphological sieves are first utilized to improve the non-uniform illumination condition.And then,the geometrical rotations in color space are computed with quaternion.By setting the background pixels of the water areas of the processed images to gray or low saturation colors while remaining the object pixel color unchanged,the difference between background and foreground colors of the image is increased.Comparison experiment results show that the proposed new color image enhancement method corrects the color unbalance and is especially suitable for processing the underwater color images with non-uniform lighting.