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An efficient and high quality medical CT image enhancement algorithm

机译:一种高效高质量的医疗CT图像增强算法

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Aiming at the process of medical diagnosis, many problems such as unclear images and low contrast are often caused by noise and interference in the process of medical image acquisition and transmission. This article proposes a new image enhancement method that combines the wavelet domain with the spatial domain. First, we input two identical images (Both of the identical images are original images.) in which the first image is enhanced by histogram equalization. Then, the two images are divided into four sub-images by a two-dimensional wavelet transform. The average of the low-frequency coefficients of the low-frequency sub-images of the two images is taken as the low-frequency coefficients of the final reconstruction. Second, aiming at the problem that the contrast may be too low, the fourth high-frequency sub-image is blurred (sharpened) twice. The fourth high-frequency sub-image after blurring is denoised by median filtering. Finally, the four sub-images are fused to obtain the enhanced image. The experimental results show that the peak signal-to-noise ratio, structural similarity, and processing time of the proposed algorithm are better than those of other contrast algorithms, especially the processing time. These objective indicators show that the proposed algorithm can not only effectively suppress noise but also significantly enhance the contrast. Subjectively, compared with other algorithms, the proposed algorithm achieves a better visual effect and greatly reduces the processing time.
机译:针对医学诊断的过程,许多问题诸如不明确的图像和低对比度之类的问题通常是由医学图像获取和传输过程中的噪声和干扰引起的。本文提出了一种新的图像增强方法,该方法将小波域与空间域组合起来。首先,我们输入两个相同的图像(两个相同的图像是原始图像。)通过直方图均衡增强第一图像。然后,通过二维小波变换将两个图像分成四个子图像。这两个图像的低频子图像的低频系数的平均值被视为最终重建的低频系数。其次,针对对比度可能太低的问题,第四高频子图像模糊(锐化)两次。模糊后的第四个高频子图像由中值滤波去噪。最后,融合了四个子图像以获得增强的图像。实验结果表明,所提出的算法的峰值信噪比,结构相似性和处理时间优于其他对比算法,尤其是处理时间。这些客观指标表明,该算法不仅可以有效地抑制噪声,而且显着提高了对比度。主观地,与其他算法相比,所提出的算法实现了更好的视觉效果,并且大大减少了处理时间。

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