• 제목/요약/키워드: Digital Color image Processing

검색결과 161건 처리시간 0.027초

Blind Color Image Watermarking Based on DWT and LU Decomposition

  • Wang, Dongyan;Yang, Fanfan;Zhang, Heng
    • Journal of Information Processing Systems
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    • 제12권4호
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    • pp.765-778
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    • 2016
  • In watermarking schemes, the discrete wavelet transform (DWT) is broadly used because its frequency component separation is very useful. Moreover, LU decomposition has little influence on the visual quality of the watermark. Hence, in this paper, a novel blind watermark algorithm is presented based on LU transform and DWT for the copyright protection of digital images. In this algorithm, the color host image is first performed with DWT. Then, the horizontal and vertical diagonal high frequency components are extracted from the wavelet domain, and the sub-images are divided into $4{\times}4$ non-overlapping image blocks. Next, each sub-block is performed with LU decomposition. Finally, the color image watermark is transformed by Arnold permutation, and then it is inserted into the upper triangular matrix. The experimental results imply that this algorithm has good features of invisibility and it is robust against different attacks to a certain degree, such as contrast adjustment, JPEG compression, salt and pepper noise, cropping, and Gaussian noise.

평판인쇄에 있어서 모랫발 형성에 따른 인쇄적성 (I) (Printability according to Graining of Plate in the Lithography (I))

  • 손세모
    • 한국인쇄학회지
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    • 제12권1호
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    • pp.57-68
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    • 1994
  • In the last decade, digital image processing technics have been rapidly developed according to the advancement of electronic technique, and total scanner and DTP system were developed. Specially, there is need to retouch the color and image on the CRT. In this paper, we described a method to display surface color of printing on the CRT, and an algorithm to simulate the color reproduction by offset printing. The experimental results show that the described method and algorithm are useful and valid on the computer simulation of the multi-color printing adapted process ink characteristics.

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색변환과 영상개선기법을 이용한 SPOT P-mode와 XS-mode 영상합성 (Merging of SPOT P-mode and XS-mode Images using Color Transformation and Image Enhancement)

  • 손덕재;이종훈
    • 한국측량학회지
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    • 제9권2호
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    • pp.103-113
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    • 1991
  • SPOT 수치영상자료를 이용한 지상좌표 계산 과정에서 지상기준점 및 검사점 입럭좌표의 정확도는 계산 결과의 신빙성에 커다란 영향을 준다. CRT 모니터상에 직접 나타난 SPOT 원초 영상은 일반적으로 지상물체의 판별과 점위치 결정에 적합하지 않으므로 전체영상의 대비개선, 영상소보간, 경계선강조, 공간필터처리 등 적절한 영상처리 기병의 적용이 필요하다. 본 연구에서는 대상지역의 3차원 위치 결정과 파장대특성분석에 이용되는 SPOT 위성영상의 시각분석에 필요한 수치영상처리기법의 원리를 고찰하고, 그 적용을 위한 알고리즘을 개발하여 프로그래밍 하였으며, 실제 P-mode 및 XS-mode의 SPOT 영상을 이용하여 고해상도 천연색영상인 SPOT P+XS 영상으로 합성하였다.

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슈퍼픽셀의 밀집도 및 텍스처정보를 이용한 DBSCAN기반 칼라영상분할 (A Method of Color Image Segmentation Based on DBSCAN(Density Based Spatial Clustering of Applications with Noise) Using Compactness of Superpixels and Texture Information)

  • 이정환
    • 디지털산업정보학회논문지
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    • 제11권4호
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    • pp.89-97
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    • 2015
  • In this paper, a method of color image segmentation based on DBSCAN(Density Based Spatial Clustering of Applications with Noise) using compactness of superpixels and texture information is presented. The DBSCAN algorithm can generate clusters in large data sets by looking at the local density of data samples, using only two input parameters which called minimum number of data and distance of neighborhood data. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. Each superpixel is consist of pixels with similar features such as luminance, color, textures etc. Superpixels are more efficient than pixels in case of large scale image processing. In this paper, superpixels are generated by SLIC(simple linear iterative clustering) as known popular. Superpixel characteristics are described by compactness, uniformity, boundary precision and recall. The compactness is important features to depict superpixel characteristics. Each superpixel is represented by Lab color spaces, compactness and texture information. DBSCAN clustering method applied to these feature spaces to segment a color image. To evaluate the performance of the proposed method, computer simulation is carried out to several outdoor images. The experimental results show that the proposed algorithm can provide good segmentation results on various images.

Color Enhancement of Low Exposure Images using Histogram Specification and its Application to Color Shift Model-Based Refocusing

  • Lee, Eunsung;Kang, Wonseok;Kim, Sangjin
    • IEIE Transactions on Smart Processing and Computing
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    • 제1권1호
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    • pp.8-16
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    • 2012
  • An image obtained from a low light environment results in a low-exposure problem caused by non-ideal camera settings, i.e. aperture size and shutter speed. Of particular note, the multiple color-filter aperture (MCA) system inherently suffers from low-exposure problems and performance degradation in its image classification and registration processes due to its finite size of the apertures. In this context, this paper presents a novel method for the color enhancement of low-exposure images and its application to color shift model-based MCA system for image refocusing. Although various histogram equalization (HE) approaches have been proposed, they tend to distort the color information of the processed image due to the range limits of the histogram. The proposed color enhancement algorithm enhances the global brightness by analyzing the basic cause of the low-exposure phenomenon, and then compensates for the contrast degradation artifacts by using an adaptive histogram specification. We also apply the proposed algorithm to the preprocessing step of the refocusing technique in the MCA system to enhance the color image. The experimental results confirm that the proposed method can enhance the contrast of any low-exposure color image acquired by a conventional camera, and is suitable for commercial low-cost, high-quality imaging devices, such as consumer-grade camcorders, real-time 3D reconstruction systems, digital, and computational cameras.

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칼라 영상처리에 의한 과일분류시스템 (Classification system of fruits by color image processing)

  • 최연호;부기동;구본호
    • 한국산업정보학회논문지
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    • 제5권3호
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    • pp.65-70
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    • 2000
  • 일반적으로 농산물의 품질은 무게나 크기 등을 직접 측정하여 판정하거나 간접 또는 비파괴방법을 이용하여 판정하게 된다. 본 논문에서는 비파괴를 이용한 판정방법인 칼라 영상처리를 이용하여 농산물의 품질과 등급을 결정하는 알고리즘을 개발하여, 이를 실시간 귤 분류시스템에 적용하였다. 개발된 시스템은 귤의 크기와 색상을 칼라 영상처리 하여 초당 최대 6개를 실시간 분류 할 수 있는 성능을 가지고 있다. 또한 다른 농산물의 품질판정을 위한 제어기를 설계할 경우에도 본 논문에서 개발한 알고리즘이 적용될 수 있을 것으로 기대된다.

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카메라 Back Cover의 형상인식 및 납땜 검사용 Vision 기술 개발 (Development of Vision Technology for the Test of Soldering and Pattern Recognition of Camera Back Cover)

  • 장영희
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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    • pp.119-124
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    • 1999
  • This paper presents new approach to technology pattern recognition of camera back cover and test of soldering. In real-time implementing of pattern recognition camera back cover and test of soldering, the MVB-03 vision board has been used. Image can be captured from standard CCD monochrome camera in resolutions up to 640$\times$480 pixels. Various options re available for color cameras, a synchronous camera reset, and linescan cameras. Image processing os performed using Texas Instruments TMS320C31 digital signal processors. Image display is via a standard composite video monitor and supports non-destructive color overlay. System processing is possible using c30 machine code. Application software can be written in Borland C++ or Visual C++

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필름 스캐너에서 역전파 신경회로망을 이용한 색 보정 (Color Correction Using Back Propagation Neural Network in Film Scanner)

  • 홍승범;백중환
    • 융합신호처리학회논문지
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    • 제4권4호
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    • pp.15-22
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    • 2003
  • 필름 스캐너는 기존의 광학 필름으로부터 고해상도와 고화질의 디지털 영상을 취득할 수 있는 입력 장치로, 최근 인쇄 및 편집 전문가들의 사용이 증대되고 있다. 그러나 광원 및 센서의 비선형적 특성으로 인해 원 필름 영상의 컬러와 스캔된 영상의 컬러가 일치하지 않는 문제가 발생한다. 따라서 필름 스캐너에서는 스캔된 디지털 영상에 대한 색 보정이 필수적이다. 본 논문에서는 스캔된 RGB 색공간의 데이터를 L$^{*}$ /a$^{*}$ /b$^{*}$ 색 공간으로 변환한 후 역전파 신경회로망을 이용하여 색 보정한다. 또한 TMS320C32 DSP 칩과 고해상도 라인 센서를 사용하여 R, G, B 각각 12 비트의 색분해도와 2400 dpi 급의 해상도를 갖는 필름 스캐너로 직접 구현하여 색 보정의 검증을 하였으며, 역 전파 신경망에 적용한 결과 평균 색 보정률이 79.8%로, 기존의 다항회귀법보다 43.5% 성능이 개선된 결과이다.

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Color Edge Detection using Variable Template Operator

  • Baek Young-Hyun;Moon Sung-Ryong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권2호
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    • pp.116-120
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    • 2006
  • This paper discusses an approach for detecting a new edge in color images. The color image is to be represented by a vector field, and the color image edges are detected as differences in the local vector statistics. This method is based on the calculation for the vector angle between two adjacent pixels. Unlike Euclidean distance in RGB space, the vector angle distinguishes the differences in chromaticity, independent of luminance or intensity. The proposed approach can easily accommodate concepts, such as variable template edge detection, as well as the latest developments in vector order statistics for color image processing. In this paper, it is used not a conventional fixed template operator but a variable template operator The variable template is implemented and experimental results for digital color images are included.

컬러 영상에서 다중-레벨 데이터 은닉을 위한 디지털 워터마킹 (Digital Watermarking for Multi-Level Data Hiding to Color Images)

  • 서정희;박흥복
    • 정보처리학회논문지B
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    • 제14B권5호
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    • pp.337-342
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    • 2007
  • 다중-레벨은 영상의 모든 레벨에서 서로 다른 영상으로 표현할 수 있는 장점을 가지고 있다. 본 논문은 다양한 컬러 영상의 표현에서 워터마크의 강인성와 무감지성을 보장하기 위해서 컬러 영상을 YCbCr 컬러 공간으로 변환하고, 다중-레벨의 Y-요소에 대해 저해상도로부터 전체 해상도로 대역 확산하는 다중-레벨 데이터 은닉을 위한 디지털 워터마킹 내장 기법을 제안한다. 컬러 신호에서 Y-신호와 저해상도의 워터마크 내장은 시각적으로 드러날 위험은 크지만 다양한 컬러와 영상의 변형에서 워터마크의 강인성을 보장할 수 있다. 실험 결과, 워터마크가 내장된 웨이브릿 압축 영상에서 워터마크의 강인성과 무감지성을 확인할 수 있었다.