• Title/Summary/Keyword: Image size

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A study on the implementation of scalable image capture processor using DRAM (DRAM을 사용한 가변 사이즈 영상 저장/재생 시스템 구현에 관한 연구)

  • 이호준;이주석;박노경;차균현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.6
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    • pp.1185-1194
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    • 1997
  • It is necessary to control the frame memory to capture, edit and display images. This paper presents the free-scale image capture processor size of which is user-defined, compared to the conventional image capture processor size of which is fixed 1/2, 1/4 and full size. User-defined scale data is fed into this system, which generates the gating pulses and gates the inputted image data. This system also controls the 4M DRAM instead of frame meamory. And stored gated image data are displayed on the TV monitor. We designed the scalable image capture parts and DRAM controller with ACTEL FPGAs, simulated the circuits with Viewlogic and fusing ACTEL A1020B chips. We confirmed the whole operation with beadboard which composed of "Philips TV Chipset" and designed FPGA chips.PGA chips.

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Elemental image resizing and the analysis of the reconstructed three dimensional image in the integral imaging system (집적결상법에서 기본영상의 크기 변환에 따른 3차원 재생영상의 특성 분석)

  • Ser, Jang-Il;Shin, Seung-Ho
    • Korean Journal of Optics and Photonics
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    • v.16 no.3
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    • pp.225-234
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    • 2005
  • In the integral imaging system for 3D display, the elemental image size is closely related to the several variables, such as the size of elemental lens, the distance between elemental lens and elemental image, etc., on the pick up system. We have analyzed the geometric relation between the variables. In addition, we have investigated the integrated image variation for the individual and whole conversion of the size of the elemental images, different from in pick up process, and presented experimental results.

A Study on the Image Watermarking Method (이미지 워터마킹 기법에 관한 연구)

  • Lee, Doo Sung;Kim, Sun Hyung;Kim, Ki Seok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.4
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    • pp.161-168
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    • 2009
  • There are many research for efficient, robust and invisible watermarking system that protects the digital contents like a image and animation according to growth of IT industry. First of all, frequency domain watermarking system like DWT(Descrete Wavelet Transform) is excellent because of minimum loss of original image and robustness of external attack. But, if we raise the insertion strength of watermark, then blazing of image occurs on existing DWT watermarking system and we should have a regular square image. In this study, we research the overflow check for preventing image from blazing and a robust and invisible watermarking algorithm. And we research a free-size DWT watermarking system using padding bytes, without a dependency of size.

Body Image Perceptions of Adolescent Daughters and Their Mothers in U.S. (미국내 청소년기 여학생과 어머니의 신체이미지 개념에 대한 연구)

  • Lee, Seung-Hee;Ulrich Pamela V.;Connell Lenda J.
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.12 s.159
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    • pp.1714-1722
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    • 2006
  • Women's perceptions of body size and body image are important topics for researchers in multiple fields. The terms body image or body self refer to perceptions and beliefs that an individual holds about his or her body (Rosenbaum, 1979; Schilder, 1953). Few studies have focused on body image perceptions as they relate to parent-child pairs. This study investigated the perceptions that mothers and daughters each had of their own body, the other's body, and their ideals for the same. The purposive sample used in this study consisted of 41 mother-daughter pairs. The sampled focus was girls between ages 9 and 14, and their mothers. Significant differences between how mothers saw their daughters and how daughters saw themselves emerged only for the plus size group. The clearest significant difference between mothers and daughters was in their dissatisfaction with themselves. The mothers were more dissatisfied. flus-size girls were significantly more dissatisfied with their mothers' bodies than normal size girls were with their mothers' bodies. The mothers of plus size girls were significantly more dissatisfied with their daughters' bodies than were the mothers of normal size daughters.

Skew correction of face image using eye components extraction (눈 영역 추출에 의한 얼굴 기울기 교정)

  • Yoon, Ho-Sub;Wang, Min;Min, Byung-Woo
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.12
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    • pp.71-83
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    • 1996
  • This paper describes facial component detection and skew correction algorithm for face recognition. We use a priori knowledge and models about isolated regions to detect eye location from the face image captured in natural office environments. The relations between human face components are represented by several rules. We adopt an edge detection algorithm using sobel mask and 8-connected labelling algorith using array pointers. A labeled image has many isolated components. initially, the eye size rules are used. Eye size rules are not affected much by irregular input image conditions. Eye size rules size, and limited in the ratio between gorizontal and vertical sizes. By the eye size rule, 2 ~ 16 candidate eye components can be detected. Next, candidate eye parirs are verified by the information of location and shape, and one eye pair location is decided using face models about eye and eyebrow. Once we extract eye regions, we connect the center points of the two eyes and calculate the angle between them. Then we rotate the face to compensate for the angle so that the two eyes on a horizontal line. We tested 120 input images form 40 people, and achieved 91.7% success rate using eye size rules and face model. The main reasons of the 8.3% failure are due to components adjacent to eyes such as eyebrows. To detect facial components from the failed images, we are developing a mouth region processing module.

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Estimating Human Size in 2D Image for Improvement of Detection Speed in Indoor Environments (실내 환경에서 검출 속도 개선을 위한 2D 영상에서의 사람 크기 예측)

  • Gil, Jong In;Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.21 no.2
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    • pp.252-260
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    • 2016
  • The performance of human detection system is affected by camera location and view angle. In 2D image acquired from such camera settings, humans are displayed in different sizes. Detecting all the humans with diverse sizes poses a difficulty in realizing a real-time system. However, if the size of a human in an image can be predicted, the processing time of human detection would be greatly reduced. In this paper, we propose a method that estimates human size by constructing an indoor scene in 3D space. Since the human has constant size everywhere in 3D space, it is possible to estimate accurate human size in 2D image by projecting 3D human into the image space. Experimental results validate that a human size can be predicted from the proposed method and that machine-learning based detection methods can yield the reduction of the processing time.

Smartphone Digital Image Processing Method for Sand Particle Size Analysis (모래 입도분석을 위한 스마트폰 디지털 이미지 처리 방법)

  • Ju-Yeong Hur;Se-Hyeon Cheon
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.35 no.6
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    • pp.164-172
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    • 2023
  • The grain size distribution of sand provides crucial information for understanding coastal erosion and sediment deposition. The commonly used sieve analysis for grain size distribution analysis has limitations such as time-consuming processes and the inability to obtain information about individual particle shapes and colors. In this study, we propose a grain size distribution analysis method using smartphone digital images, which is simpler and more efficient than the sieve analysis method. During the image analysis process, we effectively detect particles from relatively low-resolution smartphone digital images by extracting particle boundaries through image gradient calculation. Using samples collected from four beaches in Gyeongsangbuk-do, we compare and validate the proposed boundary extraction image analysis method with the analysis method that does not extract boundaries, against sieve analysis results. The proposed method shows an average error rate of 8.21% at D50, exhibiting a 65% lower error compared to the method without boundary extraction. Therefore, grain size distribution analysis using smartphone digital images is convenient, efficient, and demonstrated accuracy comparable to sieve analysis.

An Optimized CLBP Descriptor Based on a Scalable Block Size for Texture Classification

  • Li, Jianjun;Fan, Susu;Wang, Zhihui;Li, Haojie;Chang, Chin-Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.1
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    • pp.288-301
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    • 2017
  • In this paper, we propose an optimized algorithm for texture classification by computing a completed modeling of the local binary pattern (CLBP) instead of the traditional LBP of a scalable block size in an image. First, we show that the CLBP descriptor is a better representative than LBP by extracting more information from an image. Second, the CLBP features of scalable block size of an image has an adaptive capability in representing both gross and detailed features of an image and thus it is suitable for image texture classification. This paper successfully implements a machine learning scheme by applying the CLBP features of a scalable size to the Support Vector Machine (SVM) classifier. The proposed scheme has been evaluated on Outex and CUReT databases, and the evaluation result shows that the proposed approach achieves an improved recognition rate compared to the previous research results.

Effects of Color and Size of Motif on Image Perception of Paisley Patterns

  • Kim, Dong-Eun;Martin, Kathi
    • International Journal of Human Ecology
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    • v.11 no.1
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    • pp.1-10
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    • 2010
  • Two elements of paisley textile design (color and size of motif) were manipulated to investigate their effects on people's perception. Korean and Caucasian American women were selected to represent Asian and Western countries to compare the differences in image perceptions of paisley patterns between two cultures. The participants were 168 female university students composed of 84 Caucasian Americans and 84 Koreans. The experimental design was a $2{\times}2{\times}7$ factorial design: two levels of perceiver's culture, two levels of motif size, and seven levels of the motif color. The four factors used to account for image perception were an elegance factor, individuality factor, maturity factor, and femininity factor. The results of the present study confirm that image perception can be different according to the color and size of a motif and the perceiver's culture. In the results, Americans perceived the paisley pattern as more preferable than Koreans did. Red background + Orange motif was perceived as the most feminine and Dark blue background + Sky blue motif and Dark gray background + Gray motif was perceived as the most masculine in both cultures. Compared to the big motif, the small motif was perceived as more elegant in both cultures.

Medical Image Data Compression Using a Variable Block Size Vector Quantization (가변 블록 벡터양자화를 이용한 의용영상 데타터 압축)

  • 박종규;정회룡
    • Journal of Biomedical Engineering Research
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    • v.10 no.2
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    • pp.173-178
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    • 1989
  • A vector quantization technique using a variable block size was applied to image compression of digitized X -ray films. Whether the size of VQ block should be subdivided or not is determined experimentally by the threshold value. The simulation result shows that the performance of the proposed vector quantizer is suitable for the medical image coding, which is applicable to PACS( Picture Archiving and Communication System).

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