Visibility Driven Contrast Enhanced Surgical Defogging

Sushmitha Sajeevu, B. K. Anish
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引用次数: 1

Abstract

While doing an endoscopic surgery, surgical fog is a common problem which can lead to improper device use and inaccurately targeted tissue. Defogging is the process to remove the effects of fog in captured images and reconstruct the original colour of natural scene. To address the colour infidelity problem introduced by the visibility recovery and contrast enhancement, the luminances of the recovered and enhanced images are fused in the gradient domain, and the fused luminance is reconstructed by solving the Poisson equation in the frequency domain. Contrast enhancement after fusion of images gives a result named as bilateral of bilateral filtering partially repeated (BBFPR). The fused image is given as input once again to the visibility recovery section and contrast enhancement section and fusion of images is carried once more. This gives a different output bilateral of bilateral filtering repeated (BBFR). Bilateral filtering is used to smoothen the image in visibility restoration stage. This has the advantage that it retains the edges and hence edge preservation is achieved. Moreover this method improves the speed of processing compared to median filtering. The experimental results demonstrate that the BBFR method has better contrast to noise ratio whereas BBFPR method has better naturalness and sharpness.
能见度驱动对比度增强手术除雾
在做内窥镜手术时,手术雾是一个常见的问题,它会导致设备使用不当和不准确的靶向组织。去雾是去除捕获图像中的雾的影响,重建自然场景的原始颜色的过程。为了解决能见度恢复和对比度增强带来的色彩不忠问题,在梯度域对恢复和增强后的图像进行亮度融合,在频域通过求解泊松方程重构融合后的亮度。图像融合后的对比度增强结果被称为双侧过滤部分重复(BBFPR)。将融合后的图像再次作为输入输入到可见性恢复部分和对比度增强部分,再次进行图像融合。这提供了不同的输出双边双边滤波重复(BBFR)。在视觉恢复阶段,采用双边滤波对图像进行平滑处理。这样做的优点是它保留了边缘,从而实现了边缘保存。与中值滤波相比,该方法提高了处理速度。实验结果表明,BBFR方法具有更好的噪比对比度,而BBFPR方法具有更好的自然度和清晰度。
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