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The stochastic nature of modern Monte Carlo (MC) rendering methods inevitably produces noise in rendered images for a practical number of samples per pixel. The problem of denoising these images has been widely studied, with most recent methods relying on ...

Optical and digital images are one of the most important channels for transmitting information. At the Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS), this topic has always, since the founding of the ...

Modern computer technology devices do not keep pace with the high growth rate of quantitative and qualitative characteristics of digital images. The computational complexity of the wavelet transform must be reduced for the hardware-friendly ...

Accurate depth estimation is a significant method for the development of digital wisdom medical, target detection, and 3D reconstruction. However, current methods may produce noise points and blurry edges due to the complicated texture images, which ...

Production imaging pipelines commonly operate using fixed-point arithmetic, and within these pipelines a core primitive is convolution by small filters - taking; convex combinations of fixed-point values in order to resample, interpolate, or denoise. We ...

Ridges (resp., valley) are the useful geometric features due to their wide varieties of applications, mainly in image analysis problems such as object detection, image segmentation, scene understanding, etc. Many characterizations have contributed ...

Application specific instruction-set processors (ASIP) is a customised processor for user specific application. Though a significant research has been done on this, still it is most promising technology, due to lack of efficient methodologies for ...

Deaf people face many challenges to communicate with the hearing world. Many studies and industrial solutions came up with interpretation from sign language to normal text but most of them are limited either to static images for letters or static animated ...

In the tracking‐by‐detection approach of online multiple object tracking (MOT), a major challenge is how to associate object detections on the new video frame with previously tracked objects. Two important aspects that directly influence the performance ...

Effective acquisition, analysis and reconstruction of multi‐modal data such as colour and multi‐/hyper‐spectral imagery is crucial in smart camera applications, where wavelet‐based coding and compression of images are highly demanded. Many existing ...

Portrait matting is of vital importance for many applications such as portrait editing, background replacement, ecommerce demonstration, and augmented reality. The portrait matt can be accessed by predicting the α value of the original picture. Previous ...

We present Graphite, an iOS mobile app that enables users to transform photos into drawings and illustrations with ease. Graphite implements a novel flow-aligned rendering approach that is based on the analysis of local image-feature directions. A ...

In order to improve the accuracy and robustness of optical flow computation under large displacements and motion occlusions, the authors present in this study a large displacement flow field estimation approach using similarity transformation‐based dense ...

The learning‐based super‐resolution reconstruction method inputs a low‐resolution image into a network, and learns a non‐linear mapping relationship between low‐resolution and high‐resolution through the network. In this study, the multi‐scale super‐...

Aiming at the low resolution problem of the night-time surveillance image, an optimization method for enhancing the night-time surveillance image based on the fusion of infrared and visible light images was proposed. The different characteristics of the ...

In this paper, a spatial domain image watermarking method based on the modified harmonic mean filter is proposed. In the embedding process, the blue component of a color image in the RGB color space is modified to embed a binary watermark image with the ...

Pervasive photo sharing in online social media platforms can cause unintended privacy violations when elements of an image reveal sensitive information. Prior studies have identified image obfuscation methods (e.g., blurring) to enhance privacy, but ...

This article is devoted to resolving problems with synthesis of FIR-filter restoring distortions such as defocusing. We propose a new parametrical class of finite impulse response filters (FIR-filters) based on a model of the one-dimensional radially-...

In this study, new feature descriptors are designed for medical image retrieval and change detection applications, respectively. Inspired by isomerism, the authors propose a novel feature descriptor named antithetic isomeric cluster pattern (ANTIC). The ...

This paper presents a method of segmentation of a point cloud into individual objects. The described method is based on using the data on the intensities of the reflected signals obtained by laser scanning. To accelerate the calculations, the point ...