A novel corner elimination method for the compression of wireless capsule endoscopic videos

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Abstract

The paper presents a lossless compression algorithm relevant for hardware implementation in wireless capsule endoscopy. The video generated by the wireless capsule endoscopy is huge and in order to satisfy the transmission requirements, the data need to be compressed. However, due to the power and memory limitations, the traditional compression algorithms are not appropriate. Therefore, this paper proposes a method to address these limitations and presents a design suitable for wireless capsule endoscopy. A corner elimination algorithm is introduced to improve the compression ratio by an average of 3. The resulting algorithm produces an average compression ratio of 80.23 and an average PSNR of 31.7 dB.

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APA

Babu, C., & Abraham Chandy, D. (2019). A novel corner elimination method for the compression of wireless capsule endoscopic videos. In Lecture Notes in Computational Vision and Biomechanics (Vol. 31, pp. 161–168). Springer Netherlands. https://doi.org/10.1007/978-3-030-04061-1_16

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