Digital Image Processing
Spatially Adaptive Image Deblurring Algorithm Based on Abdou Operator
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Wavelet Domain Deblurring and Denoising for Image Resolution Improvement
DICTA '07 Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications
ForWaRD: Fourier-wavelet regularized deconvolution for ill-conditioned systems
IEEE Transactions on Signal Processing
Spatially adaptive wavelet-based multiscale image restoration
IEEE Transactions on Image Processing
An EM algorithm for wavelet-based image restoration
IEEE Transactions on Image Processing
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Improvement of edge details in an image is basically a process of extracting high frequency details from the image and then adding this information to the blurred image. In this paper we propose an image sharpening technique in which high frequency details are extracted using wavelet transforms and then added with the blurred image to enhance the edge details and visual quality. Before this addition, we perform some spatial domain processing on the high pass images, based on hysteresis, to suppress the pixels which may not belong to the edges but retained in the high-pass image.