INTRODUCTION: Video inpainting is a very important task in computer vision, and it’s key component of various practical applications. It also plays an role video occlusion removal, traffic monitoring old movie restoration technology. to obtain reasonable content from the sequence fill missing region, maintain time continuity spatial consistency.OBJECTIVES: In previous studies, due complexity sc...

The purpose of this thesis is to discuss digital image resolution enhancement by variational methods and the associated computational issues. Two problems related to the basic zooming problem are also studied: super-resolution and quantized deconvolution. Digital zooming is important for mundane computing activities such as web browsing as well as sophisticated applications like satellite image...

Given an image and a region Ω inside it, the inpainting problem consists in modifying the image values of the pixels in Ω so that this region does not stand out with respect to its surroundings. The purpose of inpainting might be to restore damaged portions of an image (e.g. an old photograph where folds and scratches have left image gaps) or to remove unwanted elements present in the image (e....

In this paper, a new still image inpainting method is proposed. The method assumes that the natural images have the fractal property. The main assumption in these images is that each small block of an image can be replaced using another block contained in that image using translation, scaling, and zooming properties. In our method, a very fast and flexible segmentation algorithm is used which p...

An effective visual error concealment method has been presented by employing a robust rotation, scale, and translation (RST) invariant partial patch matching model (RSTI-PPMM) and exemplar-based inpainting. While the proposed robust and inherently feature-enhanced texture synthesis approach ensures the generation of excellent and perceptually plausible visual error concealment results, the outl...

The collection of electron energy loss spectra (EELS) via scanning transmission electron microscopy (STEM) generally requires a specimen to withstand a large radiation dose. Moreover, significant drift can occur while the spectra are collected. Recent advances in electron microscopy have shown that a data reduction of up to 90% is possible for HAADF/ABF imaging and TEM video [1, 2, 3]. These ad...