An adaptive algorithm for restoring image corrupted by mixed noise

Thang, Pham Cong; Thảo, Trần Phương; Phan, Tran Dang Khoa; Sang, Dinh Viet; Tuấn, Phạm Minh; Hiếu, Nguyễn Minh

doi:10.35470/2226-4116-2019-8-2-73-82

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Information extracted from one modality is usually one-sided and it can lead to low accuracy [Thang et al (2019)]. It is a reason why the issue of a multimodal approach to identifying emotions remains unexplored to identify critical situations, such as threats, lie, mental state, problems with awareness and consistency of feelings and emotions experienced, etc.…”

Section: Introductionmentioning

confidence: 99%

Detecting incongruity in the expression of emotions in short videos based on a multimodal approach

Laushkina

Smirnov

Medvedev

et al. 2022

CAP

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Every day people face uncertainty, which is already an integral part of their lives. Uncertainty creates risks for various kinds of companies, in particular, the financial sector may incur losses due to various kinds of human errors. People turn to the opinion of experts who have special knowledge to eliminate this uncertainty. It is established that the expert shows insolvency if he uses incongruent manipulation techniques. In this article we propose a method that allows solving the problem of congruence estimation. The hypothesis that a person with a prepared speech and a person with a spontaneous speech will have a different level of congruence is also put forward and tested in this work. The similarity of emotional states of verbal and nonverbal channels is evaluated in our solution for determining congruence. Convolutional neural networks (CNN) were used to assess a person’s emotional state from video and audio, speeth-to-text to extract the text of the speaker’s speech, and a pre-trained BERT model for subsequent analysis of emotional color. Tests have shown that with the help of this development it is possible not only to distinguish the incongruence of a person, but also to point out the unnatural nature of his origin (to distinguish a simply incongruent person from a deepfake).

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Section: Introductionmentioning

confidence: 99%

Detecting incongruity in the expression of emotions in short videos based on a multimodal approach

Laushkina

Smirnov

Medvedev

et al. 2022

CAP

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“…The emission and subsequent detection of electrons follow a Poisson process [11]. These processes degrade data quality due to Poisson noise [12,13]. Meanwhile, X-ray is a popular medical imaging technique.…”

Section: Introductionmentioning

confidence: 99%

Combined total variation of first and fractional orders for Poisson noise removal in digital images

Pham

Tran

Pham

et al. 2021

ICS

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Introduction: Many methods have been proposed to handle the image restoration problem with Poisson noise. A popular approach to Poissonian image reconstruction is the one based on Total Variation. This method can provide significantly sharp edges and visually fine images, but it results in piecewise-constant regions in the resulting images. Purpose: Developing an adaptive total variation-based model for the reconstruction of images contaminated by Poisson noise, and an algorithm for solving the optimization problem. Results: We proposed an effective way to restore images degraded by Poisson noise. Using the Bayesian framework, we proposed an adaptive model based on a combination of first-order total variation and fractional order total variation. The first-order total variation model is efficient for suppressing the noise and preserving the keen edges simultaneously. However, the first-order total variation method usually causes artifact problems in the obtained results. To avoid this drawback, we can use high-order total variation models, one of which is the fractional-order total variation-based model for image restoration. In the fractional-order total variation model, the derivatives have an order greater than or equal to one. It leads to the convenience of computation with a compact discrete form. However, methods based on the fractional-order total variation may cause image blurring. Thus, the proposed model incorporates the advantages of two total variation regularization models, having a significant effect on the edge-preserving image restoration. In order to solve the considered optimization problem, the Split Bregman method is used. Experimental results are provided, demonstrating the effectiveness of the proposed method. Practical relevance: The proposed method allows you to restore Poissonian images preserving their edges. The presented numerical simulation demonstrates the competitive performance of the model proposed for image reconstruction. Discussion: From the experimental results, we can see that the proposed algorithm is effective in suppressing noise and preserving the image edges. However, the weighted parameters in the proposed model were not automatically selected at each iteration of the proposed algorithm. This requires additional research.

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“…Authors have proposed stability using Lyapunov like function [Churilov, 2019], and Lyapunov function with parametric effect [Andreev, 2019]. Moreover, an adaptive algorithm for restoring mixed noise has been proposed by Thang et al [Thang et al, 2019]. In [Sedova, 2019] author has discussed stability for nonlinear system.…”

Section: Introductionmentioning

confidence: 99%

Optimal interface controller design for haptic system

Kumar

Ohri

2020

CAP

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Haptic technology is the future oriented technology having wide applications in various field from medical, military and pilot training to video games and smartphones. In medical, it can prove a major asset for training the surgeon. The key performance issues in a haptic system are stability and transparency. This paper presents the design of haptic interface controller (HIC) for a 1-DOF haptic system designed to be used by surgical practitioners. The designed controller emphasizes on stability and transparency under the presence of uncertainty and delay. The optimal parameter of HIC has been selected using Genetic Algorithm (GA) and modified Particle Swarm Optimization (m-PSO). The performance of the designed controller is evaluated in terms of performance measure and compared with the conventional tuning method.

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An adaptive algorithm for restoring image corrupted by mixed noise

Cited by 5 publications

References 6 publications

Detecting incongruity in the expression of emotions in short videos based on a multimodal approach

Detecting incongruity in the expression of emotions in short videos based on a multimodal approach

Combined total variation of first and fractional orders for Poisson noise removal in digital images

Optimal interface controller design for haptic system

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