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A Survey on Various Single Image Super Resolution Techniques
ENGLISH
2013
International Journal of Innovative Research in Science, Engineering and Technology
ENGLISH
Preserved Fulltext
The SR image approaches reconstruct a single higher-resolution image from a set of given lower-resolution images . There is a basic need for digital images of higher resolutions and quality. ...
Superresolution is the process of recovering a high-resolution (HR) image from single image or multiple low-resolution (LR) images of the same scene . ...
In short in first stage enhanced multiple images via single stage SR algorithm and in second stage combined them to produce a single high resolution SR image. ...
doi:10.15680/ijirset.2012.0102024
fatcat:t45xr2uapvcrdnzds7ldc37eta
Adaptive document image binarization
2000
Pattern Recognition
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The performance evaluation of the algorithm utilizes test images with ground-truth, evaluation metrics for binarization of textual and synthetic images, and a weight-based ranking procedure for the "nal ...
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. ...
Acknowledgements The support from the Academy of Finland and Technology Development Centre is gratefully acknowledged. We also thank Dr. Tapio Seppanen and Mr. Sami Nieminen for their contributions. ...
doi:10.1016/s0031-3203(99)00055-2
fatcat:mczwrue5zva5fgsq442pdn2pvu
Diffusion Model-Based Image Editing: A Survey
[article]
2024
arXiv
pre-print
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In this survey, we provide an exhaustive overview of existing methods using diffusion models for image editing, covering both theoretical and practical aspects in the field. ...
The accompanying repository is released at https://github.com/SiatMMLab/Awesome-Diffusion-Model-Based-Image-Editing-Methods. ...
Mask-Enhanced Denoising Efficiency. These methods utilize masks to enhance the efficiency of diffusion-based image editing. ...
arXiv:2402.17525v2
fatcat:vrkmhmnrv5aslmpwugfmhskgti
A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis
[article]
2019
arXiv
pre-print
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After that, we propose a taxonomy to summarize GAN based text-to-image synthesis into four major categories: Semantic Enhancement GANs, Resolution Enhancement GANs, Diversity Enhancement GANS, and Motion ...
Text-to-image synthesis refers to computational methods which translate human written textual descriptions, in the form of keywords or sentences, into images with similar semantic meaning to the text. ...
ACKNOWLEDGEMENTS
CONFLICT OF INTEREST The authors declare that there is no conflict of interest regarding the publication of this article. ...
arXiv:1910.09399v1
fatcat:4zqrooqcm5cgrk74kgon5vwkzm
TEXT BASED APPROACH FOR INDEXING AND RETRIEVAL OF IMAGE AND VIDEO : A REVIEW
2018
Figshare
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Extracted information used for recognition of the overlay or scene text from a given video or image. The Extracted text can be used for retrieving the videos and images. ...
Secondly, we are reviewed the techniques for indexing and retrieval of image and videos by using extracted text. ...
Lastly, a super-resolution-based text enhancement scheme is additionally given for de-blurring scene text, onto convex sets (POCS)-based method [35] . ...
doi:10.6084/m9.figshare.6026411.v1
fatcat:zmxrsd64gvdjppngaqubbxcvku
Image Classification using Tag and Segmentation based Retrieval
2014
International Journal of Computer Applications
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In today's scenario when social media sites are widely used and high resolution images are shared. Tagging is an important approach for the retrieval of images in various applications. ...
Here in this paper various tag based image technique are discussed so by analyzing the tag based image retrieval techniques a new proposed methodology can be implemented in the future. ...
LITERATURE SURVEY Xian Zhou and Thomas Huang [9] propose the method of similarity matrix, which has keywords as columns and rows. ...
doi:10.5120/18151-9413
fatcat:hpofvu7snneu3fnjex7qr4doy4
Image and Video Processing for Cultural Heritage
2009
EURASIP Journal on Image and Video Processing
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During the last three decades, researchers in the field of imaging science have started to contribute a growing set of tools for cultural heritage, thereby providing indispensable support to these efforts ...
As a result, a huge amount of culture-related information is now digitally stored, and thus amenable to digital processing. ...
., details the development and analysis of a novel image-based photonegative restoration system. ...
doi:10.1155/2009/163064
fatcat:bphaqjnsmjaozp4m62xwg6scza
Adaptive degraded document image binarization
2006
Pattern Recognition
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This paper presents a new adaptive approach for the binarization and enhancement of degraded documents. ...
After extensive experiments, our method demonstrated superior performance against four (4) well-known techniques on numerous degraded document images. ...
Acknowledgements This research is carried out within the framework of the Greek GSRT-funded R&D project, D-SCRIBE, which aims to develop an integrated system for digitization and processing of old Greek ...
doi:10.1016/j.patcog.2005.09.010
fatcat:ju6ujezfqrcvjae4cjhv4edwye
DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance
[article]
2023
arXiv
pre-print
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2023 pre-print arXiv:2312.03018v1 fatcat:tph3yr5sk5f6rpyk5pttdfzxbuOther Versions
To tackle these problems, we propose a high-fidelity image-to-video generation method by devising a frame retention branch based on a pre-trained video diffusion model, named DreamVideo. ...
In addition, by incorporating double-condition classifier-free guidance, a single image can be directed to videos of different actions by providing varying prompt texts. ...
Varied textual inputs In our experiments, we explored the generation of videos from a single initial frame using varied textual inputs. ...
arXiv:2312.03018v3
fatcat:udn2vmuqrjdh5ivbvlrdmzxhcy
Adversarial Text-to-Image Synthesis: A Review
[article]
2021
arXiv
pre-print
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In this review, we contextualize the state of the art of adversarial text-to-image synthesis models, their development since their inception five years ago, and propose a taxonomy based on the level of ...
With the advent of generative adversarial networks, synthesizing images from textual descriptions has recently become an active research area. ...
After this, we propose a taxonomy of methods based on the level of supervision during training, namely approaches for direct T2I synthesis that use single captions as input (Section 3) versus approaches ...
arXiv:2101.09983v1
fatcat:as5i4mk4kndrzpcshlewkbgge4
Image retrieval
2008
ACM Computing Surveys
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We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. ...
In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields ...
-Interactive-simple: User interaction using a single modality needs to be supported by a system. An example is a relevance feedback based image retrieval system. ...
doi:10.1145/1348246.1348248
fatcat:5jbcrsxkkbac5cya3zb7eb22ea
Text-to-image Diffusion Models in Generative AI: A Survey
[article]
2023
arXiv
pre-print
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Based on that, we present a review of state-of-the-art methods on text-conditioned image synthesis, i.e., text-to-image. ...
As a self-contained work, this survey starts with a brief introduction of how a basic diffusion model works for image synthesis, followed by how condition or guidance improves learning. ...
With low-resolution results from NeRF-based condition module as the prior, a twostream asynchronous diffusion module further enhances the consistency, and achieves 360-degree consistent results. ...
arXiv:2303.07909v2
fatcat:dd5u5krflzbm5ok4bjf2iq42ei
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
[article]
2022
arXiv
pre-print
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This survey is an effort to provide a detailed survey of recent progress in single-image super-resolution in the perspective of deep learning while also informing about the initial classical methods used ...
Image super-resolution (SR) is one of the vital image processing methods that improve the resolution of an image in the field of computer vision. ...
We show our gratitude to the authors of all referred research studies for sharing results, especially to the authors of [5] , [17] , [74] , [80] , [110] , [112] , [113] , [115] , [118] , [124 ...
arXiv:2102.09351v3
fatcat:qsccgddpmzb43av7itsvdm2i5u
AcSIS: Authentication System Based on Image Splicing
2019
Engineering, Technology & Applied Science Research
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This system is a picture-based password scheme which comprises of the method of image splicing. Authentication data were collected from 33 different users. ...
Additionally, a comparison was made between our proposed method and a complex text-based password authentication method using the authentication success rate. ...
The method generates a combination of a large set of images that is used as a password for authentication. The log-in speed is enhanced using SHA-1 hashing and image splicing. II. ...
doi:10.48084/etasr.3060
fatcat:ttsjvgx7fbgojfp2ualay57sle
Segmentation of Handwritten Document Images into Text Lines
[chapter]
2011
Image Segmentation
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This chapter is a comprehensive survey of methods exploited to segment handwritten document images into text lines during the last two decades. ...
Therefore, the CCs in a document image could be noise specks, dots, single symbols, groups of touching characters, parts of a character that is broken, etc. ...
Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation ...
doi:10.5772/15923
fatcat:rzbm2sjwsvcjflk7uswnfea2u4
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