• Korean Journal of Agricultural Science
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• v.43 no.4
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• pp.581-588
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• 2016

The objective of this study was to investigate the accuracy of visual discrimination of soft fat pork carcasses when subjecting carcasses to quality grade evaluations. In addition, the quality of the longissimus dorsi muscle from soft fat carcasses was investigated. Iodine values of back fat from soft fat carcasses evaluated by visual discrimination were significantly higher than those from firm fat carcass (p < 0.05). However, those values were lower than the standard for soft fat (iodine value = 70). There were no significant differences in linoleic acid content, b-values, and L-values (p < 0.05) of back fat between firm and soft fat carcasses evaluated by visual discrimination. Color of longissimus dorsi muscle from soft fat carcasses (iodine value higher than 70) was not different from that of firm fat carcass (iodine value lower than 70). Except for linoleic acid, there were no significant differences in any fatty acid contents between longissimus dorsi muscles from firm fat and soft fat carcasses. Monounsaturated fatty acid content of longissimus dorsi muscles from soft fat carcasses was significantly lower than those of firm fat carcass (p < 0.05). However polyunsaturated fatty acid content was significantly higher (p < 0.05) in longissimus dorsi muscles from soft fat carcasses. In conclusion, visual discrimination results for soft fat pork carcass were inaccurate. Therefore, other indicators should be required to evaluate soft fat pork carcasses. In contrast, the quality of longissimus dorsi muscle from soft fat carcasses was superior in terms of fatty acid composition compared with that of firm fat carcasses.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.207-213
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• 2019

Assistance for the quality assurance management and developers to provide high quality software products. Using a bug record keeping system is exceptionally important in software progress, and it is followed vastly by majority of software producing companies in modern era. Regular application of a bug record keeping system is very helpful in developing software systems. We developed this system which helps the software testing team to keep a complete record of their testing activities during the software testing, also increases your confidence in the software quality, class and worth. Our proposed system offers trouble-free and effortless approaches to acquire desired information about bug, also produces different kinds of reports like summary reports, detailed reports etc. It gives facility to create, delete and update any project. Our developed application system is designed by using visual c# at front end and sql server 2008 management studio express at back end.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1039-1042
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• 2008

We propose a novel method to measure moving picture quality of display. This method simulates human visual system based on CSF (Contrast Sensitivity Function). And it evaluates moving picture quality of display on the image captured by pursuit camera. The results from this method are correlated with human visual perception test very well.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.911-912
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• 2008

In the present paper, a new framework, which is called visual SSIM (VSSIM), is proposed by incorporating crucial human factors into the SSIM. The human factors are foveation, luminance, frequency and motion information. Subjective quality test compliant with the Video Quality Expert Group (VQEG) multimedia group test plan shows that the visual SSIM is more correlated with the subjective quality result than the conventional SSIM.

• Journal of Integrative Natural Science
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• v.8 no.2
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• pp.141-144
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• 2015

As the visual quality of X-ray images is a critical reference for the accuracy of the clinical diagnosis, the methods to improve the quality of X-ray images have been investigated. Among many existing methods, using frequency domain filter is a very powerful method to improve the visual quality of images. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the subjected image. The medical X-ray images using the optimal high pass filter has shown improved edges. Further, the optimal high frequency emphasis filter has shown the improved contrast of flat areas by using the result image from the optimal high pass filter. Also the resulting images of the global contrast have improved by the histogram equalization. As a result, the proposed methods have shown enhanced contrast and edges of the images with noise canceling effect.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.4
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• pp.69-78
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• 2010

The irreversible 9/7 JPEG2000, which is one of sub-band coding techniques, has a problem of severe picture quality distortion at the edge and the background caused by the quantization error below 0.15bpp. In this paper, to solve such problems we propose a VQ(Visual Quantizer) based on L-pdf(Laplace probability density function) statistical characteristics of high frequency sub-bands. The proposed VQ is designed by visual parameter for improving the subjective quality and weighting parameter for increasing the compression ratio. A proposed method, based on 9/7 JPEG2000 scheme, gives the high subjective quality to reconstructed images below 0.15bpp and provides minimum MSE(Mean-Squared Error) regardless of the compression ratio.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.5
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• pp.255-265
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• 2013

3DTV is expected to be a promising next-generation broadcasting service. On the other hand, the visual discomfort/fatigue problems caused by viewing 3D videos have become an important issue. This paper proposes a perceptual quality assessment metric for a stereoscopic video (SV-PQAM). To model the SV-PQAM, this paper presents the following features: temporal variance, disparity variation in intra-frames, disparity variation in inter-frames and disparity distribution of frame boundary areas, which affect the human perception of depth and visual discomfort for stereoscopic views. The four features were combined into the SV-PQAM, which then becomes a no-reference stereoscopic video quality perception model, as an objective quality assessment metric. The proposed SV-PQAM does not require a depth map but instead uses the disparity information by a simple estimation. The model parameters were estimated based on linear regression from the mean score opinion values obtained from the subjective perception quality assessments. The experimental results showed that the proposed SV-PQAM exhibits high consistency with subjective perception quality assessment results in terms of the Pearson correlation coefficient value of 0.808, and the prediction performance exhibited good consistency with a zero outlier ratio value.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4476-4491
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• 2021

Video service providers tend to face user network problems in the process of transmitting video streams. They strive to provide user with superior video quality in a limited bitrate environment. It is necessary to accurately determine the target bitrate range of the video under different quality requirements. Recently, several schemes have been proposed to meet this requirement. However, they do not take the impact of visual influence into account. In this paper, we propose a new multi-category model to accurately predict the target bitrate range with target visual quality by machine learning. Firstly, a dataset is constructed to generate multi-category models by machine learning. The quality score ladders and the corresponding bitrate-interval categories are defined in the dataset. Secondly, several types of spatial-temporal features related to VMAF evaluation metrics and visual factors are extracted and processed statistically for classification. Finally, bitrate prediction models trained on the dataset by RandomForest classifier can be used to accurately predict the target bitrate of the input videos with target video quality. The classification prediction accuracy of the model reaches 0.705 and the encoded video which is compressed by the bitrate predicted by the model can achieve the target perceptual quality.

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.3
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• pp.277-284
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• 2015

Purpose: The study aimed to evaluate the effect of circle contact lens wearing on visual quality of the eyes after a refractive surgery. Methods: The objective visual quality was evaluated for 40 eyes who did not get refractive surgery and 30 eyes who got a refractive surgery after applying plano circle contact lenses on their eyes, respectively. Modulation transfer function (MTF), objective scatter index (OSI) and the focusing ratio on retina (Strehl ratio) were measured by using optical quality analysis system (OQAS) and the correlation between pupil size and objective visual quality was analyzed by measuring the pupil size. Results: When wearing circle contact lens on the eyes after refractive surgery, MTF and Strehl ratio were reduced and OSI was increased compared with the eyes without refractive surgery. The eyes after a refractive surgery showed more significant difference changes in MTF, OSI and Strehl ratio according to the pupil size compared with those without refractive surgery. Conclusions: The results showed that wearing of circle contact lens after the refractive surgery has deteriorated the objective visual quality based on the quality of focused image on the retina. Therefore, we suggest that sufficient understanding and consideration about the deterioration of visual quality is necessary in the case of circle contact lens wearing after refractive surgery.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.5
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• pp.85-93
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• 2004

This study was carried out to find out the effect of cool-season turfgrass overseeding onto zoysiagrass(Zoysia japonica L.) for extending green color and solving traffic problem during dormant periods. Overseeding rates of cool-season turfgrasses were $10g/m^2$ of Kentucky bluegrass(KB1), $20g/m^2$of Kentucky b1uegrass(KB2), $60g/m^2$ of perennial ryegrass(PR), $80g/m^2$ of Tall fescue(TF), and $10g/m^2$ of Kentucky bluegrass + $10g/m^2$ of perennial ryegrass mixture(KB+PR) onto 2m${\times}$2m(width${\times}$length) zoysiagrass plots with 3 replications.1 to 9-sca1e of visual quality and visual color were measured after treatment, Consequently cool-season turfgrass overseeding gave a good performances of extending the green periods and enhancing the turf grass quality. KB1 and KB2 were found to be excellent performances for visual quality and visual color compared to PR, TF, KB+PR and control. KB2 showed better turf performances than KB1 within Kentucky bluegrass overseedings. Turfgrass color was kept up for 10 months by overseeding of cool-season turfgrasses(KB1, KB2, PR, TP, KB+PR) compared to about 5~6 months by zoysiagrass(Control). The visual quality and visual color of PR and TF showed good performances during a green-up period of spring, but decreasing tendencies through the summer.Percent diseases data revealed also higher ratings for PR and TF compared to for KB1 and KB2.