Abstract
Image processing will play an important role for IoT (Internet of Things) applications. Nevertheless, noisy or erroneous images may invalidate image processing circuits. In the literature, there have been several image repair methods developed. However, most of them target noises. Erroneous images due to faulty circuits are seldom addressed. Although some previous work deals with this issue, single-bit errors are assumed. In this work we consider multiple-bit errors in the images produced by faulty circuits. Such erroneous images are first analyzed. Accordingly challenges for the previous image repair methods to deal with multiple-bit errors are discussed. Then the proposed image repair method that can overcome these challenges is presented. To evaluate the effectiveness of the proposed method, a large number of benchmark images that contain various significances of multi-bit errors are employed. The experimental results show that by using the proposed method, the image quality can be enhanced more effectively than the previous work.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
