This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
We present the application of a novel nonparametric approach to restoration and interpolation of medical images. The proposed approach is based on the notion of spatially adaptive...
The optimal spatial adaptation (OSA) method [1] proposed by Boulanger and Kervrann has proven to be quite effective for spatially adaptive image denoising. This method, in additio...
In this paper, we introduce a new robust image watermarking technique based on the Discrete Wavelet Transform (DWT). The proposed method extends the concept of image denoising to ...