Articles with "compressed images" as a keyword



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Adaptive reversible data hiding scheme for AMBTC compressed images

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-08237-1

Abstract: Protecting the security of information transmission over the Internet has become a critical contemporary issue. Compressed images are now widely used in mobile devices and the Internet cloud due to low storage requirements; therefore, many… read more here.

Keywords: compressed images; data hiding; adaptive reversible; reversible data ... See more keywords
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A content adaptive method of de-blocking and super-resolution of compressed images

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Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-10112-3

Abstract: In this paper, a new method of image upscaling along with de-blocking of compressed images has been presented. In the case of highly compressed images, there is a high probability that these images may contain… read more here.

Keywords: resolution; compressed images; image; super resolution ... See more keywords
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High Capacity Reversible Data Hiding for VQ-Compressed Images Based on Difference Transformation and Mapping Technique

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2973179

Abstract: In this paper, two reversible data hiding (RDH) methods for vector quantization (VQ)-compressed images are presented. In the first method, the difference-index table instead of the standard-index table is designed, and all difference indices are… read more here.

Keywords: data hiding; reversible data; method; compressed images ... See more keywords
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An Iterative Framework of Cascaded Deblocking and Superresolution for Compressed Images

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Published in 2018 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2017.2766889

Abstract: Superresolution (SR) of compressed images is chall-enging due to the combination of resolution loss and compression artifacts. To solve these intertwined problems, the conventional cascading framework splits the solution into independent deblocking and SR subprocesses,… read more here.

Keywords: compressed images; superresolution compressed; framework; iterative framework ... See more keywords
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DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus.

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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2023.3257888

Abstract: Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing quality enhancement approaches for compressed images neglect the inherent characteristic… read more here.

Keywords: compressed images; defocus; daqe approach; quality ... See more keywords
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Content adaptive single image interpolation based super resolution of compressed images

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Published in 2020 at "International Journal of Electrical and Computer Engineering"

DOI: 10.11591/ijece.v10i3.pp3014-3021

Abstract: Image Super resolution is used to upscale the low resolution Images. It is also known as image upscaling .This paper focuses on upscaling of compressed images based on Interpolation techniques. A content adaptive interpolation method… read more here.

Keywords: resolution; compressed images; image; super resolution ... See more keywords
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Monte Carlo Optimization of a Combined Image Quality Assessment for Compressed Images Evaluation

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Published in 2021 at "Traitement du Signal"

DOI: 10.18280/ts.380204

Abstract: Received: 24 February 2021 Accepted: 10 April 2021 In image processing, using compression is very important in various applications, especially those using data quantities in transmission and storing. This importance becomes most required with the… read more here.

Keywords: compressed images; quality; image; image quality ... See more keywords