• Title/Summary/Keyword: enhancement of quality

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Image Quality Enhancement Method using Retinex in HSV Color Space and Saturation Correction (HSV 컬러 공간에서의 레티넥스와 채도 보정을 이용한 화질 개선 기법)

  • Kang, Han-Sol;Ko, Yun-Ho
    • Journal of Korea Multimedia Society
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    • v.20 no.9
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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.

Single Image-based Enhancement Techniques for Underwater Optical Imaging

  • Kim, Do Gyun;Kim, Soo Mee
    • Journal of Ocean Engineering and Technology
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    • v.34 no.6
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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.

An Empirical Study on the Strategic Role of Supplier Relationships as a Means of Quality Enhancement (품질향상의 수단으로서 공급자 관계의 전략적 역할에 대한 실증적 연구)

  • Kim, Jong Rae
    • Journal of Korean Society for Quality Management
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    • v.24 no.3
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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.

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A VLSI Implementation of Color Gamut Mapping Method for Real-Time Display Quality Enhancement

  • Han Dongil
    • Proceedings of the IEEK Conference
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    • summer
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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.

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Signal Quality Enhancement using Perceptual Convolutional Noise Suppression (지각형 컨벌루션 잡음 제어를 통한 음질 개선 방법)

  • 김헌중;한헌수;홍민철;차형태
    • Journal of Broadcast Engineering
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    • v.8 no.1
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    • pp.11-18
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    • 2003
  • In this paper, we introduce a novel signal quality enhancement algorithm with a perceptual interference analysis and perceptual convolutional noise suppression. A perceptual convolutional noise is reflected in the audible disturbance that can still be recognized after the additional noise suppression and tonality change which is caused by the noise energy excitation. The enhancement system is organized with a perceptual additional noise suppression part and a perceptual convolutional noise suppression part. Experimental results show that these two parts have an equivalent quality enhancement performance.

A Versatile Medical Image Enhancement Algorithm Based on Wavelet Transform

  • Sharma, Renu;Jain, Madhu
    • Journal of Information Processing Systems
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    • v.17 no.6
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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.

An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement

  • Lee, Joonwhoan;Pant, Suresh Raj;Lee, Hee-Sin
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.1
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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.

Hardware Design of Real-Time Wide Dynamic Range Algorithm Based on Tone Mapping Method for Image Quality Enhancement (영상 품질 향상을 위한 색 사상 기반 실시간 광역역광보정 알고리즘의 하드웨어 설계)

  • Kim, Geun-Jun;Kang, Bongsoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.2
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    • pp.270-275
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    • 2018
  • Method for improving the image quality are divided into a tone mapping method and a retinex theory based method. Typical example of the image quality enhancement method using tone mapping method is one using image characteristics like histogram. In this paper, we propose a hardware design of real-time wide dynamic range algorithm based on tone mapping method for image quality enhancement. The proposed method divides the image into the luminance and chroma components and then improves the chroma region based on the variation of the luminance component. Adding to that, it is designed to be compatible with the existing 8-bit signal, using high quality image with 12-bit extended signal according to the desired flow. As a result of simulation, it is confirmed that the image quality is improved, and the hardware design is confirmed that the real-time operations is possible at the maximum frequency at 138.26MHz.

Image enhancement of digital periapical radiographs according to diagnostic tasks

  • Choi, Jin-Woo;Han, Won-Jeong;Kim, Eun-Kyung
    • Imaging Science in Dentistry
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    • v.44 no.1
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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.

The Development of Marital Enhancement Program Based on Reality Therapy (RT를 적용한 부부관계향상 프로그램 개발)

  • Jeon, Young-Ja
    • Korean Journal of Human Ecology
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    • v.14 no.2
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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.

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