Super-Resolution Reconstruction of Depth Image Based on Kriging Interpolation
نویسندگان
چکیده
The super-resolution of depth images is a research hotspot. In this study, the classical Kriging algorithm applied to spatial interpolation images, together with fractional-order differential method for edge recognition, realise reconstruction images. resulting model improves performance by harnessing superior characteristics recognition and effectively solving blurring problem in Experimental results show that, compared algorithms, based on greatly improved terms visual effects peak signal-to-noise ratio image. particular, differentiation solves image at edges Inspection point clouds shows that output proposed has obvious fractal characteristics.
منابع مشابه
A Super-Resolution Image Reconstruction using Natural Neighbor Interpolation
A super-resolution image reconstruction algorithm using natural neighbor interpolation is proposed and its performance is evaluated. The algorithm is divided into two stages: image registration and the reconstruction of a high-resolution color image. In the first stage, as shifts between images are usually unknown, the algorithm computes an approximation of these displacements by solving the sy...
متن کاملIterative-Interpolation Super-Resolution Image Reconstruction - A Computationally Efficient Technique
Following your need to always fulfil the inspiration to obtain everybody is now simple. Connecting to the internet is one of the short cuts to do. There are so many sources that offer and connect us to other world condition. As one of the products to see in internet, this website becomes a very available place to look for countless iterative interpolation super resolution image reconstruction a...
متن کاملOn Super-Resolution versus Image Interpolation
This work presents a discussion about multi-frame Super-Resolution Reconstruction (SRR) and single-frame interpolation. SRR has been extensively studied in the last decades but it is not yet as popular as image interpolation. Since both methods are directed to improve image quality, comparisons are inevitable and desirable. However, fundamental misunderstandings can still be found in the litera...
متن کاملImage Interpolation by Super-Resolution
Term “super-resolution” is typically used for a high-resolution image produced from several low-resolution noisy observations. In this paper, we consider the problem of high-quality interpolation of a single noise-free image. Several aspects of the corresponding super-resolution algorithm are investigated: choice of regularization term, dependence of the result on initial approximation, converg...
متن کاملSuper-Resolution Image Reconstruction Based on Guidance Image
Super-resolution framework uses multiple noisy low resolution images from camera to generate a higher resolution image that has better spatial resolution than any of the available low resolution images. Super-resolution is an ill-posed problem. A inherent difficulty is the challenge of inverting the image observation model without amplifying the effect of noise in the measured data. Classically...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13063769