• Title/Summary/Keyword: brightness contrast

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Spatial Contrast Enhancement using Local Statistics based on Genetic Algorithm

  • Choo, MoonWon
    • Journal of Multimedia Information System
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    • v.4 no.2
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    • pp.89-92
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    • 2017
  • This paper investigates simple gray level image enhancement technique based on Genetic Algorithms and Local Statistics. The task of GA is to adapt the parameters of local sliding masks over pixels, finding out the best parameters preserving the brightness and possibly preventing the creation of intensity artifacts in the local area of images. The algorithm is controlled by GA as to enhance the contrast and details in the images automatically according to an object fitness criterion. Results obtained in terms of subjective and objective evaluations, show the plausibility of the method suggested here.

An Adaptive Histogram Redistribution Algorithm Based on Area Ratio of Sub-Histogram for Contrast Enhancement (명암비 향상을 위한 서브-히스토그램 면적비 기반의 적응형 히스토그램 재분배 알고리즘)

  • Park, Dong-Min;Choi, Myung-Ruyl
    • The KIPS Transactions:PartB
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    • v.16B no.4
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    • pp.263-270
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    • 2009
  • Histogram Equalization (HE) is a very popular technique for enhancing the contrast of an image. HE stretches the dynamic range of an image using the cumulative distribution function of a given input image, therefore improving its contrast. However, HE has a well-known problem : when HE is applied for the contrast enhancement, there is a significant change in brightness. To resolve this problem, we propose An Adaptive Contrast Enhancement Algorithm using Subhistogram Area-Ratioed Histogram Redistribution, a new method that helps reduce excessive contrast enhancement. This proposed algorithm redistributes the dynamic range of an input image using its mean luminance value and the ratio of sub-histogram area. Experimental results show that by this redistribution, the significant change in brightness is reduced effectively and the output image is able to preserve the naturalness of an original image even if it has a poor histogram distribution.

Deinking of Laser-printed Paper Using Enzyme (효소를 이용한 레이저 인쇄된 고지의 탈묵)

  • 안병준;백기현
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.29 no.2
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    • pp.16-24
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    • 1997
  • This experiment was mainly performed with a biological treatment of laser printed paper using enzyme, We got the following conclusions : In the case of nonionic surfactant treatment, brightness, residual ink contents and several strength properties of deinked paper were excellent at the low dosage of cellulase 0.05%. When mixed cellulase and xylanase was used, yield was increased as the dosage increased up to 0.2%, but brightness was decreased at the same condition. In contrast, deinking efficiency of anionic type was reduced in terms of brightness, residual ink contents, and tensile strength. As flotation time was increased, yield decreased and brightness increased slightly. On the other hand, the addition of surfactant during repulping process showed better result than that during flotation process.

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Optimization of Color and Gray Scale using Brightness Control in CRT Color Monitor

  • Kim, Hong-Suk;Park, Seung-Ok;Baek, Jung-Ki
    • 한국정보디스플레이학회:학술대회논문집
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    • 2000.01a
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    • pp.75-76
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    • 2000
  • Tone reproduction characteristics of color and gray have a great influence on the picture quality in visual display. In this study, we optimized tone reproduction characteristics of color and gray of CRT monitor by setting brightness to the optimum level, in which offsets for RGB channels can be assumed to zero. The optimum brightness level could be found by measuring a few tones of neutral for the combination of 2 levels of brightness and 2 levels of contrast. As the result, the relationship between normalized DAC count and normalized luminance of primary color or gray has been simply presented by gamma and result in good phosphor constancy.

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A Model to Predict the Strength of Watermark in DWT-Based Image Watermarking

  • Moon, Ho-Seok;Park, Suk-Bong;Bae, Hyun-Wung
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.475-485
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    • 2008
  • One of main issues in watermarking is to resolve the strength of watermark for solving the problem of trade-off between fidelity and robustness of watermarking. In the previous research, the strength of watermark has been resolved fixed value generally without considering local image characteristics such as image brightness, contrast, and edge. This paper proposes a new model to predict the strength of watermark considering local image characteristics such as image brightness, contrast, and edge for digital wavelet transform(DWT)-based image watermarking. For the study, psychological experiment was fulfilled to measure the human image perception and regression analysis showed the proposed model was statistically significant at the level of ${\alpha}\;=\;0.01$. Also the model is practically validated on fidelity and robustness of watermarking.

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Fundamental condition for the realization of maximal contrast and brightness in liquid crystal display device: II. Polychromatic case (액정표시소자에서 화면의 명암대비와 밝기를 극대화하는 기본조건: II. 다색광의 경우)

  • 양병관;김진승;노봉규
    • Korean Journal of Optics and Photonics
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    • v.14 no.5
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    • pp.498-503
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    • 2003
  • We analyze the electro-optic polarization transmission characteristics of liquid crystal cells in the Poincare sphere representation. We determine fundamental conditions on maximizing of brightness and contrast ratio of liquid crystal display devices for polychromatic light by use of retardation films. For optimizing two colors, at least two properly designed retardation films are needed, and for three wavelengths, either it can be approximated to the two-color case or three retardation films are needed.

Human Vision System based Adaptive Watermarking Algorithm (시각적 특성에 기반한 적응적 워터마킹 알고리즘)

  • 전영민;고일주;김계영
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.6
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    • pp.101-109
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    • 2004
  • This paper proposes an adaptive watermarking algerian technique concerning the visual characteristics of human. To embed watermark to an image, features such as contrast, brightness, and texture are used. The propose method adaptively select blocks and determine the position and intensity of watermark to be applied, concerning the visual characteristics of a human. The experiment involves cropping, image enhancement, low pass filtering, and JPEG compression, which are compared on detectability of watermark against image manipulation and attack

Evaluation of color reproduction characteristics of CRT display system (CRT 디스플레이 시스템의 색재현성 평가)

  • 김홍석;박승옥;백정기
    • Korean Journal of Optics and Photonics
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    • v.10 no.3
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    • pp.259-264
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    • 1999
  • The relationship is derived for color CRT display system between the spectral radian existence emitted and digital inputs. The amount of spectral radiant existence depends on the characteristics of the video board, electric circuits, and CRT as well as digital inputs. Especially, the function of this relationship changes as the amplifier gain and offset voltage of electric circuits. In this study, we set the test display system on the optimum state which satisfies gun independence characteristics by using the contrast and the brightness controls of display. Temporal stability, special uniformity, and color distinction of CRT display system are evaluated at the optimum state. Also contrasts in dark room and illuminated room are compared.

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Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes

  • Kim, Hoseung;Han, Seong-Soo;Jeong, Chang-Sung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.1
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    • pp.166-179
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    • 2021
  • Recently, with the development of technology, computer vision research based on the human visual system has been actively conducted. Saliency maps have been used to highlight areas that are visually interesting within the image, but they can suffer from low performance due to external factors, such as an indistinct background or light source. In this study, existing color, brightness, and contrast feature maps are subjected to multiple shape and orientation filters and then connected to a fully connected layer to determine pixel intensities within the image based on location-based weights. The proposed method demonstrates better performance in separating the background from the area of interest in terms of color and brightness in the presence of external elements and noise. Location-based weight normalization is also effective in removing pixels with high intensity that are outside of the image or in non-interest regions. Our proposed method also demonstrates that multi-filter normalization can be processed faster using parallel processing.

Contrast Enhancement for Segmentation of Hippocampus on Brain MR Images

  • Sengee, Nyamlkhagva;Sengee, Altansukh;Adiya, Enkhbolor;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.15 no.12
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    • pp.1409-1416
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    • 2012
  • An image segmentation result depends on pre-processing steps such as contrast enhancement, edge detection, and smooth filtering etc. Especially medical images are low contrast and contain some noises. Therefore, the contrast enhancement and noise removal techniques are required in the pre-processing. In this study, we present an extension by a novel histogram equalization in which both local and global contrast is enhanced using neighborhood metrics. When checking neighborhood information, filters can simultaneously improve image quality. Most important is that original image information can be used for both global brightness preserving and local contrast enhancement, and image quality improvement filtering. Our experiments confirmed that the proposed method is more effective than other similar techniques reported previously.