A new cubic convolution spline interpolation (CCSI )for both one-dimensional (1-D) and two-dimensional (2-D) signals is developed in order to subsample signal and image compression data. The CCSI yields a very accurate algorithm for smoothing. It is also shown that this new and fast smoothing filter for CCSI can be used with the JPEG standard to design an improved JPEG encoder-decoder for a hig...

Problem statement: The visual effects of blocking artifacts can be reduce by using deblocking filter. Also with out smoothing the natural edges,the perceived quality of video sequence can be enchanced. This study propose a method to remove blocking artifacts in low bit-rate block based video coding. Approach: The proposed algorithm has two separate filtering modes, which are selected by pixel b...

Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear and locally smooth the image structure while minimizing both blurring and over-sharpening of visually important edges. Here we present the Alternating Guided Filter (AGF) that achieves...

The acquisition of functional magnetic resonance imaging (fMRI) data in a finite subset of k-space produces ring-artifacts and 'side lobes' that distort the image. In this article, we explore the consequences of this problem for functional imaging studies, which can be considerable, and propose a solution. The truncation of k-space is mathematically equivalent to convolving the underlying "true...

1 I n t r o d u c t i o n The CBP method for tomographic reconstruction is derived from a mathemat i cal idealization of tomographic imaging without consideration of statistical measurement errors. This idealization leads to the well-known ramp filter [1], whose frequency response has the unfortunate effect of amplifying high-frequency measurement noise. The conventional approach to reducing th...

BACKGROUND Magnetic resonance imaging (MRI) is corrupted by Rician noise, which is image dependent and computed from both real and imaginary images. Rician noise makes image-based quantitative measurement difficult. The non-local means (NLM) filter has been proven to be effective against additive noise. METHODS Considering the characteristics of both Rician noise and the NLM filter, this stud...

With the increasing use of geometry scanners to create 3D models, there is a rising need for effective denoising of data captured with these devices. This thesis presents new methods for smoothing scanned data, based on extensions of the bilateral filter to 3D. The bilateral filter is a non-linear, edge-preserving image filter; its extension to 3D leads to an efficient, feature preserving filte...

In this paper we introduce a new construction of nonlinear locally adaptive wavelet filter banks by connecting the lifting scheme with the idea of image smoothing by nonlinear diffusion methods.

This paper highlights some fast algorithms for image filtering, specifically – box and Gaussian smoothing, Hann filtering, median filtering, and morphological operations. It is shown that some of these algorithms can be implemented with computational cost independent of a filter radius.