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首页> 外文会议>International conference on graphic and image processing >Half-Unit Weighted Bilinear Algorithm for Image Contrast Enhancement in Capsule Endoscopy
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Half-Unit Weighted Bilinear Algorithm for Image Contrast Enhancement in Capsule Endoscopy

机译：胶囊内窥镜中半单元加权双线性算法的图像对比度增强

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摘要

This paper proposes a novel enhancement method based exclusively on the bilinear interpolation algorithm for capsule endoscopy images. The proposed method does not convert the original RBG image components to HSV or any other color space or model; instead, it processes directly RGB components. In each component, a group of four adjacent pixels and half-unit weight in the bilinear weighting function are used to calculate the average pixel value, identical for each pixel in that particular group. After calculations, groups of identical pixels are overlapped successively in horizontal and vertical directions to achieve a preliminary-enhanced image. The final-enhanced image is achieved by halving the sum of the original and preliminary-enhanced image pixels. Quantitative and qualitative experiments were conducted focusing on pairwise comparisons between original and enhanced images. Final-enhanced images have generally the best diagnostic quality and gave more details about the visibility of vessels and structures in capsule endoscopy images.
机译：本文提出了一种基于双线性插值算法的胶囊内窥镜图像增强方法。所提出的方法不会将原始的RBG图像分量转换为HSV或任何其他颜色空间或模型;而是直接处理RGB分量。在每个组件中，使用一组四个相邻像素和双线性加权函数中的半单位权重来计算平均像素值，该值对于该特定组中的每个像素都相同。经过计算，相同像素的组在水平和垂直方向上连续重叠，以获得初步增强的图像。通过将原始图像像素和初步增强图像像素的总和减半来获得最终增强图像。进行了定量和定性实验，着眼于原始图像和增强图像之间的成对比较。最终增强的图像通常具有最佳的诊断质量，并且在胶囊内窥镜图像中提供了有关血管和结构可见性的更多详细信息。

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