Abstract. State-of-the-art image denoising algorithms attempt to recover natural image signals from their noisy observations, such that the statistics of the denoised image follow ...
—Image denoising has been a well studied problem in the field of image processing. Yet researchers continue to focus attention on it to better the current state-of-the-art. Rece...
In this paper, we elaborate on denoising schemes based on lossy compression. First, we provide an alternative interpretation of the so-called Occam filter and relate it with the c...
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
This paper presents preliminary results on the fusion of denoised PET and SPECT data volumes from brushlet and wavelet thresholding methods. Texture-based brushlet denoising is we...
Andrew Laine, Elsa D. Angelini, Yinpeng Jin, Peter...