Bicubic interpolation

About: Bicubic interpolation is a research topic. Over the lifetime, 3348 publications have been published within this topic receiving 73126 citations.

Image Compression and Reconstruction using Cubic Spline Interpolation Technique

Abstract: A new dimension of image compression using random pixels of irregular sampling and image reconstruction using cubic-spline interpolation techniques proposed in this paper. It also covers the wide field of multimedia communication concerned with multimedia messaging (MMS) and image transfer through mobile phones and tried to find a mechanism to transfer images with minimum bandwidth requirement. This method would provide a better efficiency both in pixel reconstruction and color reproduction. The discussion covers theoretical techniques of random pixel selection, transfer and implementation of efficient reconstruction with cubic spline interpolation.

Interpolated Mth-band filters for image size conversion

Abstract: Image/video size conversion at variable rates requires that a large set of interpolation filters should be stored in a table. We present the interpolated Mth-band filters as the interpolation filters, which are obtained from the cubic spline interpolation of a prototype M/sub p/th-band eigenfilter. The proposed filter can be calculated in real time, eliminating the need for a large on-chip memory. Scaled images using the proposed filters show superb image quality.

An FIR image interpolation filter design method based on properties of human vision

Abstract: Image interpolation is an important image operation. It is commonly used in image enlargement to obtain a close-up view of the detail of an image. From sampling theory, an ideal low-pass filter can be used for image interpolation. However, ripples appear around image edges which are annoying to a human viewer. The authors introduce a new FIR image interpolation filter known as a perceptually weighted least square (PWLS) filter which is designed using both sampling theory and properties of human vision. The goal of this design approach is to minimize the ripple response around edges of the interpolated images and to best satisfy frequency response constraints. The interpolation results using the proposed approach are substantially better than those resulting from replication or bilinear interpolation, and are at least as good as and possibly better than that of cubic convolution interpolation. >

Interactive surface representation system using a B-spline formulation with interpolation capability

Abstract: An interactive surface representation system is described which uses a parametric uniform bicubic B-spline formulation which can describe a surface initially defined to interpolate a specified network of points.

Interpolation processing method and interpolation processor

Abstract: When an interpolation point is interpolated using a curve/curved surface, represented by control points, such as a B-Spline curve/curved surface or a subdivision surface, interpolation processing is performed in such a way that a moving vector for moving each control point is calculated using position information on interpolation points constituting the point group, as well as vector information on the unit direction vector that is set for each interpolation point, and the control point is moved in the movement direction and for the movement amount of this moving vector. By, repeating the generation step of a curve/curved surface that interpolates the interpolation point and the movement step of the control point, the position of a new control point is found that fits the curve/curved surface to the positions and the unit direction vectors of the point group.