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@article{178467,
        author = {Riya Vijayanand Naik and Sujani LN and Narendra Kumar S},
        title = {Signal Processing Techniques in Wireless Capsule Endoscopy Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3414-3420},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178467},
        abstract = {Wireless Capsule Endoscopy (WCE) has transformed gastrointestinal diagnosis with a minimally invasive, patient-friendly method to conventional endoscopy. This technology allows physicians to use a small, swallowable capsule with an imaging camera, light source, and wireless transmitter to acquire real-time images of the gastrointestinal tract. WCE systems are highly reliant on signal processing modules to achieve high-quality image acquisition, compress the data, provide reliable wireless transmission, and utilize low power consumption. This paper discusses the key signal processing techniques applied in WCE, their effect on the overall performance of the device, and the issues that arise when working in a restricted size, bandwidth, and energy environment. A MATLAB-based simulation using an actual WCE image is provided to demonstrate recognized image degradation and enhancement approaches, supporting the use of lightweight enhancement and robust error correction. WCE has the potential to improve both non-invasive diagnostics and patient outcomes, especially today with the rapid improvement of microelectronics and embedded signal processing.},
        keywords = {Wireless Capsule Endoscopy, Biomedical Signal Processing, Image Compression, Non-invasive Imaging, RF Communication, Medical Electronics},
        month = {May},
        }