The wireless capsule endoscope (WCE) is a pill-sized device taking images, which are transmitting to an on-body receiver, while traveling through the digestive system. Since image data is transmitted through the human body, which is a harsh medium for electromagnetic wave propagation, noise may at times heavily corrupt the reconstructed image frames. A common way to combat noise is to use error-correcting codes. In addition one may also utilize inter- and intra frame correlation to reduce the impact of noise at the receiver side, placing no extra demand on the WCE. However, it is then of great importance that the chosen post processing methods do not alter the content of the image as this can lead to miss-detection by gastroenterologists. In this paper we will investigate the possibility for additional noise suppression and error concealment at the receiver side in a high intensity error regime. Due to the high correlation generally inherent in WCE video, satisfactory results are obtained, as concluded from both subjective tests with gastroenterologists as well as the structural similarity (SSIM) metric. More surprisingly, the subjective tests indicate that the inpainted frames in many cases can be used for clinical assessment. These results indicate that one can apply error reduction through post processing together with error-correcting codes to obtain a more noise-robust system without any further demand on the WCE.

中文翻译：

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通过无线胶囊内窥镜视频的后处理减少错误

无线胶囊内窥镜（WCE）是一种药丸大小的设备，可在穿过消化系统的同时拍摄图像，这些图像将被传输到人体接收器。由于图像数据是通过人体传播的，人体是电磁波传播的恶劣介质，因此噪声有时会严重破坏重建的图像帧。消除噪声的常用方法是使用纠错码。另外，还可以利用帧间和帧内相关性来减少噪声在接收机侧的影响，而对WCE则没有额外的要求。然而，非常重要的是所选的后处理方法不要改变图像的内容，因为这可能导致肠胃病医生误检测。在本文中，我们将研究在高强度误差情况下在接收器侧进行额外噪声抑制和误差隐藏的可能性。由于WCE视频中通常固有的高度相关性，因此可以得到令人满意的结果，这是通过与胃肠病医生的主观测试以及结构相似性（SSIM）度量得出的。更令人惊讶的是，主观测试表明，在许多情况下，可使用内嵌框架进行临床评估。这些结果表明，人们可以通过后处理以及纠错码来减少错误，从而获得一种噪声更强的系统，而无需对WCE提出任何进一步的要求。由胃肠病医生的主观测试以及结构相似性（SSIM）指标得出的结论。更令人惊讶的是，主观测试表明，在许多情况下，可使用内嵌框架进行临床评估。这些结果表明，人们可以通过后处理以及纠错码来减少错误，从而获得一种噪声更强的系统，而无需对WCE提出任何进一步的要求。由胃肠病医生的主观测试以及结构相似性（SSIM）指标得出的结论。更令人惊讶的是，主观测试表明，在许多情况下，可使用内嵌框架进行临床评估。这些结果表明，人们可以通过后处理以及纠错码来减少错误，从而获得一种噪声更强的系统，而无需对WCE进行任何进一步的要求。