Efficient quality enhancement of gastrointestinal endoscopic video by a novel method of color salient bilateral filterin
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Efficient quality enhancement of gastrointestinal endoscopic video by a novel method of color salient bilateral filtering Apurba Das1
· Shylaja S S1
Received: 14 April 2020 / Revised: 15 August 2020 / Accepted: 17 September 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The recent advancements in bio-photonics enabled physicians to combine techniques such as narrow-band imaging, fluorescence spectroscopy, optical coherence tomography, with visible spectrum endoscopy video to provide in vivo microscopic tissue characterization in online optical biopsy (Ye et al. 2015); (Wang and Van Dam 2004). Despite the aforementioned advantages, it is challenging for gastroenterologists to retarget the optical biopsy sites during endoscopic examinations because of the degraded quality of endoscopic video which gets corrupted by haze, noise, oversaturated illumination, etc. Enhancement of video frames by considering color channels independently gives birth to unintended phantom color due to its ignorance of the psycho-visual correspondence. To address the aforementioned, we have proposed a novel algorithm to enhance video with faster performance. The proposed C 2 D 2 A (Cross Color Dominant Deep Autoencoder) uses the strength of (a) bilateral filtering both in spatial neighborhood domain and psycho-visual range; (b) deep autoencoder which learns salient patterns. The domain-based color sparseness has further improved the performance, modulating classical deep autoencoder to color dominant deep autoencoder. The work has shown promise towards not only a generic framework of quality enhancement of video streams but also addressing performance. The current work in turn improves the image and video analytics like segmentation, detection, and tracking the objects or regions of interest. Keywords Endoscopy · Deep autoencoder · Color sparseness · Bilateral filtering
1 Introduction It has been well accepted [16], that the endoscopic/ laparoscopic video streams are one of the best modalities for operating surgeons as far as the intra-operative data or Apurba Das
apurba [email protected] Shylaja S S [email protected] 1
Computer Science and Engineering, PES University, Bangalore, India
Multimedia Tools and Applications
gastrointestinal visualization is concerned. Internationally, quality in endoscopy has become an important priority in last decade. In 2006, the American Society for Gastrointestinal Endoscopy (ASGE) and American College of Gastroenterology issued a joint statement highlighting the urgent need for quality measures and quality improvement in endoscopy [3, 20]. Quality degradation due to multiple artifacts like haze, blood, non-uniform illumination, specular reflection impacts not only the visibility but also the accuracy of image/ video analytics. Haze is directly responsible for reducing contrast of the said video stream. Hence, it is of utmost importance to dehaze the endoscopic videos in gastrointestinal procedures to ensure improved visualization of field of interest. Endosc
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