What is NSCT in image processing?
In the nonsubsampled contourlet transform (NSCT) domain, a novel image fusion algorithm based on the visual attention model and pulse coupled neural networks (PCNNs) is proposed. The algorithm can preserve the completeness and the sharpness of object regions.
What is nsct transform?
The nonsubsampled contourlet transform (NSCT) is one of the new geometrical image transform. This transform uses the nonsubsampled pyramids (NSP) and the nonsubsampled directional filter banks (NSDFB) to obtain a multiscale and multidirection decomposition of image.
What are the various types of image fusion?
Image fusion methods can be broadly classified into two groups – spatial domain fusion and transform domain fusion. The fusion methods such as averaging, Brovey method, principal component analysis (PCA) and IHS based methods fall under spatial domain approaches.
What is feature level image fusion?
Feature-level fusion is an intermediate-level fusion process that uses the feature information extracted from the original information of each source for comprehensive analysis and processing. Compared with pixel-level fusion, feature-level fusion has more information loss and less computation.
What is digital image with example?
A digital image is a representation of a real image as a set of numbers that can be stored and handled by a digital computer. In order to translate the image into numbers, it is divided into small areas called pixels (picture elements).
What is the difference between image registration and image fusion What are examples of each?
The overlay of remote-sensing data such as that seen with topographic maps is an example of image fusion. Image registration is the process of spatially aligning two or more image datasets of the same scene taken at different times, from different viewpoints, and/or by different sensors.
What is image fusion PDF?
Image fusion, also called pan-sharpening, is a technique used to integrate the geometric detail of a high-resolution panchromatic (Pan) image and the color information of a low-resolution multispectral (MS) image to produce a high-resolution MS image.
What is digital image image?
A digital image is a picture that is stored on a computer. It has been digitised, which means it has been changed into a sequence of numbers that computers can understand.
What is a binarized image?
Image Binarization is the conversion of document image into bi-level document image. Image pixels are separated into dual collection of pixels, i.e. black and white. The main goal of image binarization is the segmentation of document into foreground text and background.
Where is image registration used?
It is used in computer vision, medical imaging, military automatic target recognition, and compiling and analyzing images and data from satellites. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.
What is fusion in remote sensing?
Remote sensing image fusion is an effective way to use a large volume of data from multisensor images. Image fusion is the combination of two or more different images to form a new image by using a certain algorithm to obtain more and better information about an object or a study area than.
What is digital image example?
A digital image is a representation of a real image as a set of numbers that can be stored and handled by a digital computer. For example, a black and white image records only the intensity of the light falling on the pixels.
What is the difference between NSCT and fusion rule?
The theory of the NSCT is briefly presented, while the fusion rule is specifically emphasized. Considering the particularity of the application, the weight for the fusion varies regionally in each scale in order to find the solution to a better compromise of localization information extracted from two original images.
What is the impact of NSCT on the image fusion?
The impact of the NSCT on the image fusion. The Laplacian Pyramid (LP) can be regarded as the special case of the CT which omit the directional integration. In the CT and NSCT, the prototype filter for the pyramid structure is ‘9–7’  and that of the directional filters is ‘pkva’. The ‘9–7’ filter is adopted in the SWT.
What is image fusion and how does it work?
Image fusion integrates the complementary information from two or more images into a single one. The result provides a more comprehensive description for the object than any input. It will benefit the image analysis in many fields, such as studies in remote sensing, machine vision, clinical medicine, and molecular biology.
What is the difference between denoising and registration in image fusion?
Image fusion cannot be well performed without the preprocessing. The denoising eliminates the useless noises in the original images, while the registration transforms original images into the same coordinate system and determines the validity of the fusion at a large extent.