Image enhancement in embedded devices for internet of things

dc.contributor.authorGwanggil Jeon
dc.contributor.authorKitsuchart Pasupa
dc.contributor.authorMarco Anisetti
dc.contributor.authorAwais Ahmad
dc.date.accessioned2025-07-21T06:01:43Z
dc.date.issued2019-06-14
dc.description.abstractSummary This paper proposes a new color interpolation method which can be used in embedded devices for IoT system. In this work, we use regression approach for generating and designing filters to restore color image. The filters are designed with four sizes, 5x5 training filter, 7x7 training filter, 9x9 training filter, and 11x11 training filter. The obtained filters are tested in 25 LC dataset to assess the performance. Experimental results inform that the proposed filters provide outstanding performance when they are compared with conventional methods. As compared with the other methods, the proposed filters produce the best average interpolation performance both objectively and visually.
dc.identifier.doi10.1002/cpe.5398
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8427
dc.subjectInterpolation
dc.subjectDemosaicing
dc.subjectColor filter array
dc.subject.classificationImage Enhancement Techniques
dc.titleImage enhancement in embedded devices for internet of things
dc.typeArticle

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