Analysis of wavelet-based full reference image quality assessment algorithm

Mokhtar, Faizah; Ngadiran, Ruzelita; Basheer, Taha; Rahim, Amir Nazren Abdul

doi:10.11591/eei.v8i2.1404

Cited by 3 publications

(3 citation statements)

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“…They are image systems such as biomedical images, satellite images or artistic paintings. Most digital devices are equipped with computer vision and image processing algorithms [7]. A basic maneuver in image processing includes the filtering of image's intensity.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of color image interpolation based on incompressible Navier Stokes technique

Jittawiriyanukoon¹,

Srisarkun²

2021

Bulletin EEI

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Color image interpolation encompasses reconstructing parts of a video or an image based on information from the neighbor. Technique involves the restoration of noised photos and animation or image denoising. The Navier-Stokes (NS) technique has been widely investigated as an essential research by image restoration. These NS equations contribute spectacular results for producing an animation as they augment reality. They can boost real-time video games to be more sensible than ever. In this paper, we present the Incompressible NS approach (INS) for color image interpolating. The method per se is based on fluid flow concept to circulate directed lines from the peripheral into the area to be interpolated. The image intensity represents stream function in a computational flow of 2D fluid dynamics. The algorithm is implemented to carry on lines regarding gradient vectors at the edge of the interpolating region. It uses the improvement of powerful numerical analysis. It is also proven as an innovative idea for easing problems in image analytics as well as computer vision.

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Section: Introductionmentioning

confidence: 99%

Evaluation of color image interpolation based on incompressible Navier Stokes technique

Jittawiriyanukoon¹,

Srisarkun²

2021

Bulletin EEI

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“…Thus it is seen that both the techniques i.e. IQA and CBIR use feature extraction to achieve their goal [23].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive assessment of content-based image retrieval using selected full reference image quality assessment algorithms

Phadikar

Thakur

2021

Multimed Tools Appl

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In the area of full-reference (FR) objective 'image quality assessment' (IQA), a huge amount of improvement has been done in the last few years that can calculate image quality, consistently. Contrarily, query-based image/video databases and search engines retrieve related data using 'ranking and indexing' depending on stored content. It is also to be noted that both techniques use feature extraction to achieve their goal. The efficiency of seven selected FR-IQA schemes is described in this article for the retrieval of an image signal. Extensive tests are done on two freely accessible databases. The comparison results express that mean-structural-similarity-index-measure (MSSIM), and feature-similarity-index-measure (FSIM) offer superior outcome than other IQA models. Our assessment outcome and the related thought will be very much useful for the researchers to understand the latest application areas of the IQA model in the area of image searching and retrieval.

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“…As a result of the long identification process that requires high accuracy, statistical modeling and software assistance are needed to identify TB disease from sputum samples of patients using processing of images. This process is one of processing digital images that is a discipline of study about digitally techniques to proceed images [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Identification the number of Mycobacterium tuberculosis based on sputum image using local linear estimator

et al. 2020

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Infectious disease caused by infection of Mycobacterium tuberculosis is called tuberculosis (TB). A common method in detecting TB is by identifying number of mycobacterium TB in sputum manually. Unfortunately, manually calculation by pathologists take a relatively long time. Previous researches on TB bacteria were still limited to detect the absence or presence of mycobacterium TB in images of sputum. This research aims are identifying number of mycobacterium TB and determining accuracy of classification TB severity by approaching nonparametric Poisson regression model and applying an estimator namely local linear. Steps include processing of image, reducing of dimension by applying partial least square and discrete wavelet transformation, and then identifying the number of mycobacterium TB by using the proposed model approach. In this research, we get deviance values of 28.410 for nonparametric and 93.029 for parametric approaches and the average of classification accuracy values for 4 iterations of 92.75% for nonparametric and 85.5% for parametric approaches. Thus, for identifying many of mycobacterium TB met in images of sputum and classifying of TB severity, the proposed identifying method gives higher accuracy and shorter time in identifying number of mycobacterium TB than parametric linear regression method.

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Analysis of wavelet-based full reference image quality assessment algorithm

Cited by 3 publications

References 0 publications

Evaluation of color image interpolation based on incompressible Navier Stokes technique

Evaluation of color image interpolation based on incompressible Navier Stokes technique

A comprehensive assessment of content-based image retrieval using selected full reference image quality assessment algorithms

Identification the number of Mycobacterium tuberculosis based on sputum image using local linear estimator

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