Image denoising is a critical issue in the field of digital image processing. This paper proposes a novel Salt & Pepper noise suppression by developing a Kriging Interpolation Filter (KIF) for image denoising. Gray-level images degraded with Salt & Pepper noise have been considered. A sequential search for noise detection was made using kk window size to determine nonnoisy pixels only. The non...

Image interpolation is a common problem in imaging applications. However, most interpolation algorithms in existence suffer visually to some extent the effects of blurred edges and jagged artifacts in the image. This paper presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to enhance edges along the normal directions to the isophote lines...

Image zooming is the process of enlarging the spatial resolution of a given digital image. We present a novel technique that intelligently modifies the classical pixel replication method for zooming. Our method decomposes a given image into layer of binary images, interpolates them by magnifying the binary patterns preserving their geometric shape and finally aggregates them all to obtain the z...

Superresolution, or image upscaling, is the process by which an image is spatially enlarged or brought to higher resolution. Simpler techniques for superresolution such as bilinear and bicubic interpolation do not consider any information but that which is provided by the low-resolution image that is to be enlarged. The resulting image from these techniques is often blurry and do not improve in...

The Super-Resolution (SR) or High Resolution Image reconstructed from noisy, blurred and aliasing the low resolution image using techniques known as super-resolution reconstruction.The super-resolution reconstruction process to combining the low resoultion images to form high resolution images using the algorithm (i.e interpolation).The super-resolution have phases such as registration,interpol...

Image interpolation is a common problem in imaging applications. However, most interpolation algorithms in existence suffer visually the effects of blurred edges and jagged artifacts in the image to some extent. This paper presents an adaptive feature preserving bidirectional flow process, where an inverse diffusion is performed to sharpen edges along the normal directions to the isophote lines...

A new algorithm for the interpolation of temporal intermediate images using polyphase weighted median filters is proposed in this paper. To achieve a good interpolation quality not only in still but also in moving areas of the image, vectorbased interpolation techniques have to be used. However, motion estimation on natural image scenes always suffers from errors in the estimated motion vector ...

In this paper we propose a new approach of tomographic image reconstruction using sinogram interpolation for a sparse projection data. In this term, sinogram interpolation is a process of converting a sampled projection to a higher sampling rate projection. By using interpolation, we construct a new projections within the range of set of projection, then we apply a filtered backprojection recon...

We propose a novel image interpolation method for resolution enhancement of still images. The approach consists of a nonlinear mapping from pixel index space to color space based on the low-resolution image so that non-integral pixel indices in a super-sampling can be mapped to colors, i.e., interpolated. This nonlinear mapping is based on an extensor transformation of 2D pixel indices to an N-...