scispace - formally typeset
Search or ask a question
Topic

Bicubic interpolation

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


Papers
More filters
Proceedings ArticleDOI
08 Oct 2000
TL;DR: A color interpolation method using high order B-splines for a single-chip CCD (charge-coupled device) and experiments show that the cubic spline interpolation Method provides better performance than the bilinear interpolations method.
Abstract: We propose a color interpolation method using high order B-splines for a single-chip CCD (charge-coupled device). Single-chip digital cameras use a color filter array (CFA) and an interpolation method in order to reconstruct high quality images from sparsely sampled images. Frequently, single-chip digital cameras use the bilinear interpolation method due to the simple implementation and fast processing time. We have applied the interpolation algorithm using the cubic spline in order to obtain high quality images. Experiments show that the cubic spline interpolation method provides better performance than the bilinear interpolation method.

12 citations

Journal ArticleDOI
TL;DR: In this article, a class of simple rational splines and their application to monotonic interpolation was considered and a selection of numerical results was presented in Figs. 4 and 11.
Abstract: We shall consider a class of simple rational splines and their application to monotonic interpolation to monotonic data. Our method is situated between interpolation with the usual cubic splines and with monotone quadratic splines. A selection of numerical results is presented in Figs. 4–11.

12 citations

Proceedings ArticleDOI
01 Jan 2021
TL;DR: The effectiveness of the proposed method is demonstrated by comparing it to recent methods in real-world SR and it is shown that the proposed approach outperforms the state-of-the-art works in terms of both qualitative and quantitative results.
Abstract: Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a large variety of realistic image degradations and analytically modeling these realistic degradations can prove quite difficult. In this work, we propose to handle real-world SR by splitting this ill-posed problem into two comparatively more well-posed steps. First, we train a network to transform real LR images to the space of bicubically down-sampled images in a supervised manner, by using both real LR/HR pairs and synthetic pairs. Second, we take a generic SR network trained on bicubically downsampled images to super-resolve the transformed LR image. The first step of the pipeline addresses the problem by registering the large variety of degraded images to a common, well understood space of images. The second step then leverages the already impressive performance of SR on bicubically downsampled images, sidestepping the issues of end-to-end training on datasets with many different image degradations. We demonstrate the effectiveness of our proposed method by comparing it to recent methods in real-world SR and show that our proposed approach outperforms the state-of-the-art works in terms of both qualitative and quantitative results, as well as results of an extensive user study conducted on several real image datasets.

12 citations

Patent
16 Dec 1997
TL;DR: In this paper, a method and device for varying interpolation factor of at least one position-dependent, periodic signal in a position measurement system is presented, which allows switching between one of a specified number of different interpolation factors at a switching time point at which the interpolated measurement signal has an identical signal form for every possible interpolated factor.
Abstract: A method and device for varying interpolation factor of at least one position-dependent, periodic signal in a position measurement system. The method and device allows switching between one of a specified number of different interpolation factors at a switching time point at which the interpolated measurement signal has an identical signal form for every possible interpolation factor.

12 citations

Proceedings ArticleDOI
18 Jun 2010
TL;DR: A novel image interpolation method based on the amalgamation of bicubic interpolation and 2D interpolation filter that significantly enhances the quality and Peak Signal to Noise Ratio (PSNR) of the interpolated images over ICBI and iNEDI interpolation methods.
Abstract: In this paper we illustrate a novel image interpolation method based on the amalgamation of bicubic interpolation and 2D interpolation filter. First, bicubic interpolation algorithm is applied interpolating pixels to create a high resolution image. Then 2D interpolation filter algorithm is applied along columns and rows modifying the interpolated values to produce super resolution image. The second algorithm preserves edge smoothness and refines the interpolated pixels to produce visually high quality images. The results demonstrate that our new interpolation algorithm significantly enhances the quality and Peak Signal to Noise Ratio (PSNR) of the interpolated images over ICBI and iNEDI interpolation methods.

12 citations


Network Information
Related Topics (5)
Image segmentation
79.6K papers, 1.8M citations
84% related
Image processing
229.9K papers, 3.5M citations
83% related
Feature extraction
111.8K papers, 2.1M citations
82% related
Feature (computer vision)
128.2K papers, 1.7M citations
80% related
Convolutional neural network
74.7K papers, 2M citations
79% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202350
2022118
202187
202087
2019122
201892