Development of a Lossless Compression Algorithm Using Content-Based Classification of Image Block for Wireless Capsule Endoscopic Image

Abstract

In this paper, the development of a lossless image compression algorithm for wireless capsule endoscopy using content-based classification of image block is presented along with the simulation results, which shows the effectiveness of the methodology and also represents a significant advancement in medical imaging technology. This algorithm offers a pragmatic solution for reducing data size and transmission rates in wireless capsule endoscopy systems while maintaining high diagnostic image quality. By classifying image blocks based on content, the algorithm can efficiently prioritize informative regions within the images, enhancing the reliability and trustworthiness of the resulting images. The algorithm's performance has been validated through simulations and evaluations, demonstrating its utility in real-world applications. Overall, this development has the potential to significantly improve the efficiency and effectiveness of wireless capsule endoscopy systems, leading to better patient outcomes and enhanced medical diagnostics.