Enhancement of Low Resolution Iris Images Using Wavelet Transform
نویسندگان
چکیده
The aim of image resolution enhancement is to process a given input low resolution image to make the result more desirable than the original image for a given specific application. There are various image processing application which requires high resolution images for processing and analysis. One of the commonly used techniques for image resolution enhancement is Interpolation. Interpolation technique has been widely used in many image processing applications such as facial reconstruction, in medical field, multiple descriptions coding, and super resolution. Discrete wavelet transform is used to decompose low resolution image and stationary wavelet transform is used to preserve edges. Iris recognition is widely used in safety certification. In large scenes or long distance conditions, the iris images may has low resolution. Lack of information in these iris images or videos affects the performance of the iris recognition greatly. In this paper, scheme of super resolution is used to reconstruct high resolution images from low resolution iris image sequences. KeywordsImage resolution enhancement, Interpolation, Discrete wavelet transform, stationary wavelet transform, Iris recognition.
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