Top Research Papers on Image Processing

Parts of image processing are discussed--specifically: the mathematical operations one is likely to encounter, and ways of implementing them by optics and on digital computers; image description; and image quality evaluation.

This paper presents the deep learning-based inverse tone mapping algorithms for high dynamic range imaging. Specifically, the technical contents of various deep learning-based inverse tone mapping techniques, which are currently being studied

Digital image processing deals with the systematic manipulation of an input image to produce an output image that is better suited for viewing or subsequent analysis. The processed images are either examined by a human observer, such as a radiologist viewing an X-ray, or they form input to an automatic machine vision system. The machine vision system then analyzes the image to derive an interpretation of the scene. A digital image is represented as a discrete two-dimensional array of numbers. Each element in the array is known as a pixel (for picture element). These pixels are assigned values ...

The goal of image processing is to robustly extract useful, high-level information from images and video to help improve the performance of general-purpose processor implementation.

Since the use of intensity as a feature for classification is frequently unsatisfactory in these monochromatic images, the importance of features based on texture is considered.

The main algorithm of image reconstruction is the program description and image model, which describes the system of equations and the solutions of convolution equations MATLAB R-based code (N prime).

TNTmips allows you to display, create, and process images of any type and up to terrabytes in size to optimize information extraction and data presentation.

The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.

By completely describing the shape of GMPs, a face representation method called Gabor Surface Feature (GSF) is obtained, which calculates the magnitude, 1st and 2nd derivatives of GMP, then binarize them and transform them into decimal values.

The description of regions acts as an interface between the extraction of the foreground and the tracking of mobile objects/assets, which consists in the translation of video data into a symbolic representation i.e. descriptors.

It was found that the two important operators so far explored may have practical importance and may also permit extension of the method to analog computers for certain classes of partial differential equations.

Topics covered include fractal representation, mathematical morphology, wavelet representations and the detection and description of contours and shapes.

NCC '80 has addressed three important areas of image processing through individually organized sessions, which are medical imaging, facsimile transmission, and image understanding.

An overview of image processing in Intelligent Transportation Systems (ITS) is given, which describes the three major components of an image processing system: image input, algorithms, and on-board and roadside processing equipment.

This chapter introduces a variety of concepts related to digital image formation in a human eye and portrays the operations of the image during sampling and quantization and the two operations of sampling which is oversampling and under-sampling.

The goal of image processing is to robustly extract useful, high-level information from images and video to help improve the performance of general-purpose processor implementation.

The FSS device and the image processing software of image processing system for P. R. (type PRS-82) are described, which includes more than 120 commands for 10 kinds of imageprocessing function, muhiform's image I/O commands and tool commands.

The image of the annular polar coordinate conversion makes the panorama image is expanded, it is possible to shift the position of the central axis between a full imaging apparatus of the optical axis of the hole (H) (L2) of the deformation can be corrected.

A method of processing an image comprises acquiring an image of a scene including an object having a recognizable feature, determining a lens actuator setting providing a maximum sharpness for a region of the image including the object, and employing the determined dimension of the feature instead of an assumed dimension ofThe feature for subsequent processing of images of the scene including theobject.

The process for forming an image having a desired function preflight color appearance is improved, and the resultant data to a printer via a printer interface is improved.