Image resolution enhancement is a usable process for many image processing applications such as geoscience studies, astronomy and geographical information systems. Image interpolation is popularly used to increase the image resolution, but the potential problem associated with it is to magnify the image many times without loss in image clarity. Most of the classical linear interpolation techniq...

This paper presents the fractal interpolation method of the human retina image. In the first part, we focus on the segmentation image with Skeletonization and identify different types of pixels. Secondly, using Douglas-Peucker algorithm to reduce the number of pixels in the image we try to keep a form close to the original. then, we used fractal interpolation( IFS ) to decompress the encoded im...

Earlier there are different interpolation techniques for denoising of images. When an image is zoomed checkerboard effect/ringing arises in images. In order to remove interpolation artefacts such as image blur and checkerboard effect. The proposed technique “DIRETIONAL DENOISE SCHEME” tries to amend the interpolation error. Meanwhile edge preservation is a critical issue in both image denoising...

The paper presents a new low complexity edge-directed image interpolation algorithm. The algorithm uses structure tensor analysis to distinguish edges from textured areas and to find local structure direction vectors. The vectors are quantized into 6 directions. Individual adaptive interpolation kernels are used for each direction. Experimental results show high performance of the proposed meth...

1 Corresponding author. Email: [email protected]. This research is supported by the Hong Kong General Research Fund (PolyU 5330/07E) and the National Science Foundation Council of China under Grant no. 60634030. Abstract – Most of the existing image interpolation schemes assume that the image to be interpolated is noise free. This assumption is invalid in practice because noise will be...