In this paper, pipelining concepts is adopted to increase the processing speed of image scaling algorithms. The proposed algorithm consists of pipelining stages along with a linear space-variant edge detector, a low complicacy sharpening spatial filter, and a simplified bilinear interpolation. The linear space-edge detector is used to discover the image edges by a lowcost catching technique. Th...

Slice interpolation is a fast growing field in medical image processing. Intensity-based interpolation and object-based interpolation are two major groups of methods in the literature. In this paper an object based method for slice interpolation using a modified version of curvature registration is proposed. Due to non-linear nature of image registration the results of forward and backward regi...

This paper presents an approach for the e ective combination of interpolation with a halftoning process to reconstruct a high resolution binary image from a lower resolution gray level one. We study a nonlinear interpolative method that maps quantized low dimensional 2 2 image blocks to higher dimensional 4 4 binary blocks using a table lookup operation. In the generalized interpolative VQ (GIV...

Multi-image interpolation in space and time has recently received considerable attention. Typically, the interpolated image is synthesized by adaptively blending several forward-warped images. Blending itself is a low-pass filtering operation: the interpolated images are prone to blurring, even if correspondences are perfect. Furthermore, ghosting artifacts appear as soon as the underlying corr...

A single sensor provided with a color filter array (CFA) format looks like a mosaic image. Each pixel in the image contains a primary color, red, green and blue, arranged alternately. Most previous interpolation and zooming techniques for CFA image utilize the gradient and the spatial information of the neighborhood color pixels around the interpolation positions. However, their characteristics...

A direction-oriented spatial interpolation technique for image de-interlacing is presented in this letter. The experimental results demonstrate that our method achieves excellent performance in terms of both objective and subjective image quality. The proposed algorithm also has a very computationally simple structure, and proves to be a good candidate for low-cost hardware interpolator. key wo...

A new algorithm for interpolation between grayscale serial slice images, such as from CT, is presented. The algorithm extends shape-based (SB) binary image interpolation to shape-based interpolation of grayscale images (SBIG). Unlike algorithms, such as linear (L) or cubic spline (CS) interpolation, which rely only on pixel position, SBIG makes essential use of object distance and morphology to...

Image interpolation and denoising are important techniques in image processing. These methods are inherent to digital image acquisition as most digital cameras are composed of a 2D grid of heterogeneous imaging sensors. Current polarization imaging employ four different pixelated polarization filters, commonly referred to as division of focal plane polarization sensors. The sensors capture only...

In dynamic modeling process of 3D image, too much few characteristics extracted in the binocular stereo vision modeling process cause the cloud characteristics of the model node could not be recovered and low fidelity of the model. In order to solve this problem, this paper presents a thinning algorithm of 3D image model based on improved spatial wavelet interpolation. Firstly, several coordina...