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Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_15
Abstract: This work proposes the use of deep learning architectures, and in particular Convolutional Autencoders (CAE’s), to incorporate an explicit component of orthogonality to the computation of local image descriptors. For this purpose we present a…
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Keywords:
methodology;
descriptors convolutional;
local image;
image descriptors ... See more keywords
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Published in 2021 at "Optik"
DOI: 10.1016/j.ijleo.2021.167433
Abstract: Abstract Contrast improvement as well as detail preservation is important for human visualization in image enhancement. Traditional histogram equalization methods are easy to produce over-enhancement results, resulting in the loss of fine details. In order…
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Keywords:
contrast improvement;
local image;
global local;
image enhancement ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3138168
Abstract: Local image descriptors play a crucial role in many image processing tasks, such as object tracking, object recognition, panorama stitching, and image retrieval. In this paper, we focus on learning local image descriptors in an…
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Keywords:
local image;
image;
descriptors learned;
image descriptors ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3178745
Abstract: Image enhancement methods can be formulated as global transformations, local transformations, pixel-wise processing, or a mixture of these operations. Global transformations are limited in enhancing local image regions. Existing local and pixel-wise methods mitigate this…
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Keywords:
tone;
image enhancement;
local image;
tone curves ... See more keywords
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Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/3651529
Abstract: For a fixed-position camera, the intensity changes of an image pixel are often caused by object movement or illumination change. This paper focuses on such a problem: given two adjacent local image patches, how can…
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Keywords:
bipolar log;
image;
local image;
intensity change ... See more keywords
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Published in 2021 at "Sensors and Materials"
DOI: 10.18494/sam.2021.3172
Abstract: The technology of image style transfer can learn the style of a target image in a fully automated or semi-automated way, which is often very difficult to achieve by manual methods, thus saving much time…
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Keywords:
local image;
style;
style transfer;
image ... See more keywords