In this paper we present a study on historical documents denoising methods and make visual quality performance comparison through Deep Residual Learning, ...
This paper presents a study on historical documents denoising visual quality among Deep Residual. Learning, Alternating Direction Method of Multiplier and.
A study on historical documents denoising methods and visual quality performance comparison through Deep Residual Learning, Alternating Direction Method of ...
In this context, Guoming et al. [10] conducts research on denoising strategies and visual performnace of historical documents. The proposed strategy in the ...
These documents assist the evaluation of a noise removal algorithm to a considerable degree, since they are not drastically affected. The rest of the documents ...
Nov 17, 2023 · The main objective of this work is to propose a new method for historical document denoising based on an Attentive Generative Adversarial Network (Attentive- ...
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The work concentrated on manuscripts restoration by denoising and binarization of historical documents images found local binarization effective than global ...
This paper presents a survey on different approaches for removing the marginal noise from document images, and anlaysing the research challenges of those ...
Sep 1, 2021 · This paper presents a novel denoising method based on a fully-convolutional deep neural network. A two-stage U-Net model architecture is designed to model and ...
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This chapter deals with digital restoration, preservation, and data base storage of historical manuscripts images. It focuses on restoration techniques and ...