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Iris recognition system is one of the biometric systems in which the development is growing rapidly. In this paper, speeded up robust features (SURFs) are used for detecting and describing iris keypoints. For feature matching, simple fusion rules are applied at different levels. Contrast-limited adaptive histogram equalization (CLAHE) is applied on the normalized image and is compared with histogram...
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve...
Image denoising involves processing of the image data to produce a visually high quality image. The denoising algorithms may be classified into two categories, spatial filtering algorithms and transform domain algorithms. In this paper a comparative study between different denoising filters for speckle noise reduction in ultrasonic b-mode images based on calculating the Peak Signal to Noise Ratio...
Spatial resolution enhancement is usually required in the remote sensing field. Super-Resolution (SR) is a fusion process for reconstructing a High-Resolution (HR) image from several Low-Resolution (LR) images covering the same region in the world. It is difficult, however, for some satellite remote sensing arrangements to get several images of the same scene in a short time, especially for highly...
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