• 한국멀티미디어학회논문지
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• 제20권9호
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• pp.1481-1490
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• 2017

This paper presents an image quality enhancement algorithm for dark image acquired under poor lighting condition. Various retinex algorithms which are human perception-based image processing methods were proposed to solve this problem. Although MSR(Multi-Scale Retinex) among these algorithm works well under most lighting condition, it shows color degradation because their separate nonlinear processing of RGB color channels. To compensate for the loss of the color, MSRCR(Multi-Scale Retinex with Color Restoration) was proposed. However, it requires high computational load and has additional parameters that need to be adjusted according to input image. In order to overcome this problem, a new retinex algorithm based on MSR is proposed in this paper. The proposed method consists of V channel MSR, saturation correction, and separate contrast enhancement process. Experimental results show that the subjective and objective image quality of the proposed method better than those of the conventional methods.

• 한국해양공학회지
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• 제34권6호
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• pp.442-453
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• 2020

Underwater color images suffer from low visibility and color cast effects caused by light attenuation by water and floating particles. This study applied single image enhancement techniques to enhance the quality of underwater images and compared their performance with real underwater images taken in Korean waters. Dark channel prior (DCP), gradient transform, image fusion, and generative adversarial networks (GAN), such as cycleGAN and underwater GAN (UGAN), were considered for single image enhancement. Their performance was evaluated in terms of underwater image quality measure, underwater color image quality evaluation, gray-world assumption, and blur metric. The DCP saturated the underwater images to a specific greenish or bluish color tone and reduced the brightness of the background signal. The gradient transform method with two transmission maps were sensitive to the light source and highlighted the region exposed to light. Although image fusion enabled reasonable color correction, the object details were lost due to the last fusion step. CycleGAN corrected overall color tone relatively well but generated artifacts in the background. UGAN showed good visual quality and obtained the highest scores against all figures of merit (FOMs) by compensating for the colors and visibility compared to the other single enhancement methods.

• 품질경영학회지
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• 제24권3호
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• pp.1-18
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• 1996

The purpose of this study is to empirically examine the role of supplier relationships as a means of enhancement of quality. The model for this study consists of four groups of concepts - 1) goal of quality, as 2) measures of supplier relationships, supplier assistance and buyer supplier communication, 3) the level of automation and technology, as 4) measures of performance, reliability quality and performance quality. By statistical analysis, the results are as follows. First, the goal of quality positively influences the level of automation, technology, supplier assistance and supplier communication. Second, the level of technology has a positive effect on supplier assistance and supplier communication on the level of automation. Third, the level of automation and technology positively influence the reliability quality. Fourth, supplier assistance and buyer-supplier communication has a positive effect on the reliability and performance quality. These results reveal three paths of supplier relationships in systems for the enhancement of quality.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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• pp.122-127
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• 2004

The color gamut mapping method that is used for enhancing the color reproduction quality between PC monitor and printer devices is adopted for display quality enhancement. The high definition display devices operate at the clock speed of around $70\;MHz\;\sim\;150\;MHz$ and permit several nano seconds for real-time processing. Thus, the concept of three-dimensional reduced resolution look-up table is used. The required hardware can be greatly reduced by look-up table resolution adjustment. The proposed hardware architecture is successfully implemented in ASIC and also successfully adopted in display quality enhancement purposes.

• 방송공학회논문지
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• 제8권1호
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• pp.11-18
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• 2003

본 논문에서는 잡음 에너지에 의한 지각적 간섭현상 해석을 통한 지각적 컨벌루션 잡음 제어에 의한 음질 개선 방법을 연구하였다. 지각적 컨벌루션 잡음은 잡음에 의한 신호의 지각적인 특성 변화 및 잡음 추정오차에 의한 잔여 잡음의 영향을 반영하는 것이다. 실험 결과 임계대역 여기 에너지를 통한 지각적 부가 잡음 제어 필터와 순음도 변화도를 통한 지각적 컨벌루션 잡음 제어 필터가 대등한 음질 개선 성능을 나타내었으며, 다양한 잡음 환경에서도 우수한 음질 개선을 나타냄을 확인 할 수 있었다.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1170-1178
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• 2021

This paper proposed a versatile algorithm based on a dual-tree complex wavelet transform for intensifying the visual aspect of medical images. First, the decomposition of the input image into a high sub-band and low-sub-band image is done. Further, to improve the resolution of the resulting image, the high sub-band image is interpolated using Lanczos interpolation. Also, contrast enhancement is performed by singular value decomposition (SVD). Finally, the image reconstruction is achieved by using an inverse wavelet transform. Then, the Gaussian filter will improve the visual quality of the image. We have collected images from the hospital and the internet for quantitative and qualitative analysis. These images act as a reference image for comparing the effectiveness of the proposed algorithm with the existing state-of-the-art. We have divided the proposed algorithm into several stages: preprocessing, contrast enhancement, resolution enhancement, and visual quality enhancement. Both analyses show the proposed algorithm's effectiveness compared to existing methods.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권1호
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• pp.35-44
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• 2015

The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

• 한국정보통신학회논문지
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• 제22권2호
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• pp.270-275
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• 2018

영상의 화질을 개선하는 방법은 색 사상 방법과 레티넥스 방법으로 나누어진다. 색 사상 방법의 대표적인 예는 히스토그램을 기반으로 영상의 화질을 개선하는 방법이다. 본 논문에서는, 영상 품질 향상을 위한 색 사상 기반 실시간 광역역광보정 알고리즘의 하드웨어 설계를 제안한다. 제안하는 방법은 영상을 밝기 영역과 색 영역으로 나눈 후, 밝기 영역의 변화량을 기초하여 색 영역을 개선한다. 또한, 고품질의 영상을 원하는 흐름에 맞추어, 12bit로 확장된 신호를 사용하며, 기존의 8bit 신호와도 호환이 가능하게 설계하였다. 시뮬레이션 결과로 영상의 화질의 개선됨을 확인 하였으며, 하드웨어 설계 결과 최대 138.26MHz로 실시간 동작이 가능함을 확인하였다.

• Imaging Science in Dentistry
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• 제44권1호
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• pp.31-35
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• 2014

Purpose: This study was performed to investigate the effect of image enhancement of periapical radiographs according to the diagnostic task. Materials and Methods: Eighty digital intraoral radiographs were obtained from patients and classified into four groups according to the diagnostic tasks of dental caries, periodontal diseases, periapical lesions, and endodontic files. All images were enhanced differently by using five processing techniques. Three radiologists blindly compared the subjective image quality of the original images and the processed images using a 5-point scale. Results: There were significant differences between the image quality of the processed images and that of the original images (P< 0.01) in all the diagnostic task groups. Processing techniques showed significantly different efficacy according to the diagnostic task (P< 0.01). Conclusion: Image enhancement affects the image quality differently depending on the diagnostic task. And the use of optimal parameters is important for each diagnostic task.

• 한국생활과학회지
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• 제14권2호
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• pp.241-250
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• 2005

The purpose of this study is to develop a marital enhancement program based on reality therapy. The program consists of 8 session contents: program orientation, need strength profile between husband and wife, quality world and marital life, perception about marital life, comparison between quality world and perceived world, total behavior in marital life, communication between husband and wife, integration and application. This study mainly focuses on applying counseling theory (choice theory and reality therapy) to family life education for enhancing a conjugal relationship. In this way, participants of Marital Enhancement Program can experience a therapeutic effect as well as an educational effect.