This paper presents an adaptive regularized image interpolation algorithm from blurred and noisy low resolution image sequence, which is developed by a general framework based on data fusion. This framework can preserve edge information and suppress noise, effectively. To obtain a higher resolution image, both discontinuities across the edge orientation and smoothness along the edge orientation...

Supervised learning of every possible pathology is unrealistic for many primary care applications like health screening. Image anomaly detection methods that learn normal appearance from only healthy data have shown promising results recently. We propose an alternative to image reconstruction-based and embedding-based a new self-supervised method tackle pathological detection. Our approach orig...

We discuss the problem of interpolating visually acceptable images at a higher resolution. We first present the interpolation problem and why linear interpolation filters are inadequate for image data. To represent the major mathematical approaches to image processing, we discuss and evaluate five different image interpolation methods. First, we present a PDE-based method derived from the aniso...

We propose a simple and effective framework for multi-view image sequence interpolation in space and time. For spatial view point interpolation we present a robust feature-based matching algorithm that allows for wide-baseline camera configurations. To this end, we introduce two novel filtering approaches for outlier elimination and a robust approach for match extrapolations at the image bounda...

∗ Zhunping Zhang participated in this work when he was working as an intern at Microsoft Research Asia. Abstract Image interpolation is of great importance in biomedical visualization and analysis. In this paper, we present a novel gray-level interpolation method called Directional Coherence Interpolation (DCI). The principal advantage of the proposed approach is that it leads to significantly ...

Image resizing is a basic tool in image processing, and literature, we have many methods based on different approaches, which are often specialized only upscaling or downscaling. In this paper, independently of the (reduced enlarged) size aim to get, approach problem at continuous scale where underlying function representing globally approximated by its Lagrange–Chebyshev I kind interpolation p...

We introduce a new zooming algorithm curvature interpolation method(CIM) based on partial differential equation, which produce high resolution(HR) color image by solving a linearized curvature equation. Partial Differential Equations (PDEs) have become an important tool for interpolation methods in image processing and analysis. CIM first evaluates the curvature of the low-resolution image, aft...