Object detectors are vital to many modern computer vision applications. However, even state-of-the-art object not perfect. On two images that look similar human eyes, the same detector can make different predictions because of small image distortions like camera sensor noise and lighting changes. This problem is called inconsistency. Existing accuracy metrics do properly account for inconsisten...

This work is focused on the computational complexity (CC) reduction of locally-adaptive processing 3D tensor images, based recursive approaches. As a basis, local averaging operation used, implemented as sliding mean filter (SM3DF) with central symmetric kernel. Symmetry plays very important role in constructing working window. The presented theoretical approach could be adopted various algorit...

Rapid development in computer technology makes images, audio, text and video can be more easily reproduced, processed and stored in digital devices. Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image and documents. In this paper the concept of color image watermarking technique is perfor...

When estimating an unknown single pure qubit state, the optimum fidelity is 2/3. As it is well known, the value 2/3 can be achieved in one step, by a single ideal measurement of the polarization along a random direction. I analyze the opposite strategy which is the long sequence of unsharp polarization measurements. The evolution of the qubit under the influence of repeated measurements is quit...

Unsharp Masking is a popular image processing technique used for improving the sharpness of structures on dental radiographs. However, it produces overshoot artefact and intolerably amplifies noise. On radiographs, often resembles indications prosthesis misfit, pathosis, pathological features associated with restorations. A noise- robust alternative to algorithm, termed Gradient-adaptive Nonlin...

This study conducts an exploratory evaluation of the performance of the newly available Sentinel-2A Multispectral Instrument (MSI) imagery for mapping water bodies using the image sharpening approach. Sentinel-2 MSI provides spectral bands with different resolutions, including RGB and Near-Infra-Red (NIR) bands in 10 m and Short-Wavelength InfraRed (SWIR) bands in 20 m, which are closely relate...

Abstract: The field of Digital Image Processing refers to processing digital images by means of digital computer. One of the main application areas in Digital Image processing methods is to improve the pictorial information for human interpretation. Most of the digital images contain noise. This can be removed by many enhancement techniques. Filtering is one of the enhancement techniques which ...

Motivated by some recent work in active contour applications, we study the use of Sobolev gradients for PDE-based image diffusion and sharpening. We begin by studying, for the case of isotropic diffusion, the gradient descent/ascent equation obtained by modifying the usual metric on the space of images, which is the L metric, to a Sobolev metric. We present existence and uniqueness results for ...

Conventional chest radiography poses a challenging technical problem because of its requirement for simultaneous high-contrast display and wide-latitude recording across the entire image. We developed and evaluated a method of producing chest radiographs by using a tantalum air-interspace grid for highly efficient scatter rejection, wide-latitude X-ray film for recording the low-scatter image, ...

With the advent of the programmable graphics pipeline, it has become possible to move expensive rendering processes to the GPU for real-time computation. The demand for realistic real-time rendering in games has led to the creation of GPU shaders that approximate global illumination. Our project is an implementation of one such approximation known as screen-space ambient occlusion (SSAO).