• Title/Summary/Keyword: enhancement of quality

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A Speech Enhancement Algorithm based on Human Psychoacoustic Property (심리음향 특성을 이용한 음성 향상 알고리즘)

  • Jeon, Yu-Yong;Lee, Sang-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.6
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    • pp.1120-1125
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    • 2010
  • In the speech system, for example hearing aid as well as speech communication, speech quality is degraded by environmental noise. In this study, to enhance the speech quality which is degraded by environmental speech, we proposed an algorithm to reduce the noise and reinforce the speech. The minima controlled recursive averaging (MCRA) algorithm is used to estimate the noise spectrum and spectral weighting factor is used to reduce the noise. And partial masking effect which is one of the human hearing properties is introduced to reinforce the speech. Then we compared the waveform, spectrogram, Perceptual Evaluation of Speech Quality (PESQ) and segmental Signal to Noise Ratio (segSNR) between original speech, noisy speech, noise reduced speech and enhanced speech by proposed method. As a result, enhanced speech by proposed method is reinforced in high frequency which is degraded by noise, and PESQ, segSNR is enhanced. It means that the speech quality is enhanced.

A Method for the Quality Improvement by the Punch List Analysis of Apartment Construction (아파트 공사의 펀치리스트 분석에 의한 품질개선방법)

  • Lee, Jae-Yong;Ji, Dae-Jun;Lee, Soo-Yong
    • Journal of the Korean Society of Safety
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    • v.22 no.2 s.80
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    • pp.53-58
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    • 2007
  • This study is to find out primary factors through the punch list in the large scale apartment housing complex, to prevent repeatedly occurring defects of construction and to gain quality management. The following are the findings of the research. (1) The positive strengthening of supervision for the workers can contribute to prevent defects of apartment construction and make better quality of the construction. (2) A solution should be made for the poor of surface join and the damage of work element showing a lot in the apart construction, which prevent defects and improve construction quality. (3) Indirect factors such as negligence and carelessness of the management should be improved to advance construction quality, and the caution and control strengthening of the management should be followed. It is revealed that hitch, omission, and heedlessness come from the defects, and the shortage of skill and checking appear as indirect factors. Therefore, to get quality improvement, the enhancement of the management factors, employment of excellent workers, and enhancement of working attitude and construction management are needed.

Local image enhancement using adaptive unsharp masking and noise filter

  • Ha, Tae-Ok;Song, Byung-Soo;Moon, Seong-Hak
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1692-1695
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    • 2007
  • We describe the image enhancement method of applying two spatial filters with different characteristics adaptively. An adaptive method is introduced so that sharpness enhancement is performed only in regions where the image exhibits significant dynamics, while noise reduction is achieved in smooth regions. Simulation results show that the proposed method improved the image quality.

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A Study of Image Enhancement Processing for Letter Extraction of Image Using Terahertz Signal (테라헤르츠 신호를 이용한 영상의 글자 추출을 위한 화질 개선처리에 대한 연구)

  • Kim, Seongyoon;Choi, Hyunkeun;Park, Inho;Kim, Youngseop;Lee, Yonghwan
    • Journal of the Semiconductor & Display Technology
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    • v.16 no.3
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    • pp.111-115
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    • 2017
  • Terahertz waves are superior to conventional X-ray or Magnetic Resonance Tomography(MRI), and the amount of information that can be transmitted is as large as thousands of times that conventional X-ray or MRI. In addition, Terahertz waves have great performance in analyzing an object which have some layered structure. By using this advantage, we can extract the letters of a page by analyzing information such as absorption amount and reflection amount by irradiating a closed book with pulses of various frequencies within gap of a terahertz wave. However, in the image of each page using the Terahertz wave might be obtained various kinds of noise and the different character occlusion region. So, to extract letters from the terahertz image, we must take the noise and occlusion region away. We have been working to enhancement the image quality in various ways, and keep on studying de-noising processing for enhancement about the image quality and high resolution. Finally, we also keep on studying about OCR(Optical Character Recognition) technology, which based on pattern matching technique, to read letters.

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The color enhancement of natural Zambian amethyst by the hydrothermal treatment method (수열처리법을 이용한 잠비아산 천연 자수정의 색상개선)

  • 박춘원;김판채
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.14 no.2
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    • pp.73-77
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    • 2004
  • The color enhancement for natural Zambian amethyst of low quality was carried out by the hydrothermal treatment method. The hydrothermal treatment conditions were as follows: reaction temperature; $300^{\circ}C$, duration; 30 hrs, filling; 40%, solvent; 6 M-HCI solution. The reddish purple amethyst of high quality was obtained under these conditions. From the result of ICP/AES, it was known that color enhancement was affected by a Fe elemental content to exist in the inside of natural Zambian amethyst. Also, from the result of UY-VIS-NIR, it was shown that the absorption peak at 550 nm after hydrothermal treatment is slightly lower than those of non-treated natural Zambian amethyst. In this study, it was known that hydrothermal treatment method was a way to suitable for increase of commercial value of natural Zambian amethyst.

Enhancement Alogorithm of Portal Image using Neuo-Fuzzy (뉴로 퍼지를 이용한 포탈 영상의 개선 알고리듬의 연구)

  • 허수진;신동익
    • Journal of Biomedical Engineering Research
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    • v.21 no.5
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    • pp.527-535
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    • 2000
  • For a reliable patient set-up verification, better portal films are needed to track relevant features. Simulator films are compared with portal films as a reference image in radiotherapy planning. This shows some possibilities of the use of image information of simulator images for enhancement and restorations of portal images which are very poor in quality compared with the simulator images. This paper present an approach that combine an associative memory, a kind of artificial neural networks with fuzzy image enhancement technique using genetic algorithm which determines the fuzzy region of membership function by the use of maximum entropy principles. A higher portal image quality than conventional technique is achieved.

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Blending of Contrast Enhancement Techniques for Underwater Images

  • Abin, Deepa;Thepade, Sudeep D.;Maitre, Amulya R.
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.1-6
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    • 2022
  • Exploration has always been an instinct of humans, and underwater life is as fascinating as it seems. So, for studying flora and fauna below water, there is a need for high-quality images. However, the underwater images tend to be of impaired quality due to various factors, which calls for improved and enhanced underwater images. There are various Histogram Equalization (HE) based techniques which could aid in solving these issues. Classifying the HE methods broadly, there is Global Histogram Equalization (GHE), Mean Brightness Preserving HE (MBPHE), Bin Modified HE (BMHE), and Local HE (LHE). Each of these HE extensions have their own pros and cons and thus, by considering them we have considered BBHE, CLAHE, BPDHE, BPDFHE, and DSIHE enhancement algorithms, which are based on Mean Brightness Preserving HE and Local HE, for this study. The performance is evaluated with non-reference performance measures like Entropy, UCIQE, UICM, and UIQM. In this study, we apply the enhancement algorithms on 300 images from the UIEB benchmark dataset and then apply the techniques of cascading fusion on the best-performing algorithms.

Single Image Enhancement Using Inter-channel Correlation

  • Kim, Jin;Jeong, Soowoong;Kim, Yong-Ho;Lee, Sangkeun
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.3
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    • pp.130-139
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    • 2013
  • This paper proposes a new approach for enhancing digital images based on red channel information, which has the most analogous characteristics to invisible infrared rays. Specifically, a red channel in RGB space is used to analyze the image contents and improve the visual quality of the input images but it can cause unexpected problems, such as the over-enhancement of reddish input images. To resolve this problem, inter-channel correlations between the color channels were derived, and the weighting parameters for visually pleasant image fusion were estimated. Applying the parameters resulted in significant brightness as well as improvement in the dark and bright regions. Furthermore, simple contrast and color corrections were used to maintain the original contrast level and color tone. The main advantages of the proposed algorithm are 1) it can improve a given image considerably with a simple inter-channel correlation, 2) it can obtain a similar effect of using an extra infrared image, and 3) it is faster than other algorithms compared without artifacts including halo effects. The experimental results showed that the proposed approach could produce better natural images than the existing enhancement algorithms. Therefore, the proposed scheme can be a useful tool for improving the image quality in consumer imaging devices, such as compact cameras.

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A Selection Method of Reliable Codevectors using Noise Estimation Algorithm (잡음 추정 알고리즘을 이용한 신뢰성 있는 코드벡터 조합의 선정 방법)

  • Jung, Seungmo;Kim, Moo Young
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.7
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    • pp.119-124
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    • 2015
  • Speech enhancement has been required as a preprocessor for a noise robust speech recognition system. Codebook-based Speech Enhancement (CBSE) is highly robust in nonstationary noise environments compared with conventional noise estimation algorithms. However, its performance is severely degraded for the codevector combinations that have lower correlation with the input signal since CBSE depends on the trained codebook information. To overcome this problem, only the reliable codevector combinations are selected to be used to remove the codevector combinations that have lower correlation with input signal. The proposed method produces the improved performance compared to the conventional CBSE in terms of Log-Spectral Distortion (LSD) and Perceptual Evaluation of Speech Quality (PESQ).

The Selection of Evaluation Items and the Estimation of Its Weight for Rural Development Program : A Case of the Enhancement Program of the Quality of Life for Farmers and Fishermen and Rural Development (농촌개발사업의 추진실적 평가항목 선정 및 가중치 산정에 관한 연구 - 농림어업인 삶의 질 향상 및 농산어촌지역개발 시행계획 추진실적 평가를 중심으로 -)

  • Hwang, Han-Cheol
    • Journal of Korean Society of Rural Planning
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    • v.13 no.2
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    • pp.17-26
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    • 2007
  • This study aims to develop a rational evaluation system which consists of the selection of evaluation items and the estimation of its weight for the Enhancement Program of the Quality of Life for Farmers and Fishermen and Rural Development. This system has two hierarchical steps. The first step shows the evaluation goals which are relevance, efficiency and effectiveness of the program. The second step stands for the evaluation items which have 11 sub-items such as necessity and externalization for the program, rationality of procedures, feedback and monitoring system, budgetary allocations, information activities, impacts on the program, achievements of the goals and so on. A tentative evaluation system was proposed by brainstorming and Delphi method of expert-group. Weighting values of evaluation items were calculated through pair-comparison works of expert group using stepwise matrix sheets by AHP(Analytic Hierarchy Process).