• Title/Summary/Keyword: Color conversion algorithm

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Implementation of Color-Temperature Conversion System using X-Chromaticity Coorindate (X-색도 좌표를 이용한 색온도 변환 시스템 구현)

  • Lee, Ho-Nam;Lee, Bong-Geun;Mun, O-Hak;Gang, Bong-Sun
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.8
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    • pp.64-73
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    • 2002
  • In this Paper, we propose the color-temperature conversion method using an one-dimensional illuminant chromaticity. It also presents the design and the implementation of the proposed method. The performance of the method is compared with that of two-dimensional conversion method in Robertson's algorithm based on calculated color temperatures. The proposed method is demonstrated experimentally for color temperatures in the range of 3,000OK to 25,000OK with the Xilinx Virtex-E FPGA XCV2000E-6BG560.

A Study On Male-To-Female Voice Conversion (남녀 음성 변환 기술연구)

  • Choi Jung-Kyu;Kim Jae-Min;Han Min-Su
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.115-118
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    • 2000
  • Voice conversion technology is essential for TTS systems because the construction of speech database takes much effort. In this paper. male-to-female voice conversion technology in Korean LPC TTS system has been studied. In general. the parameters for voice color conversion are categorized into acoustic and prosodic parameters. This paper adopts LSF(Line Spectral Frequency) for acoustic parameter, pitch period and duration for prosodic parameters. In this paper. Pitch period is shortened by the half, duration is shortened by $25\%, and LSFs are shifted linearly for the voice conversion. And the synthesized speech is post-filtered by a bandpass filter. The proposed algorithm is simpler than other algorithms. for example, VQ and Neural Net based methods. And we don't even need to estimate formant information. The MOS(Mean Opinion Socre) test for naturalness shows 2.25 and for female closeness, 3.2. In conclusion, by using the proposed algorithm. male-to-female voice conversion system can be simply implemented with relatively successful results.

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Implementation of ARM based Embedded System for Muscular Sense into both Color and Sound Conversion (근감각-색·음 변환을 위한 ARM 기반 임베디드시스템의 구현)

  • Kim, Sung-Ill
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.427-434
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    • 2016
  • This paper focuses on a real-time hardware processing by implementing the ARM Cortex-M4 based embedded system, using a conversion algorithm from a muscular sense to both visual and auditory elements, which recognizes rotations of a human body, directional changes and motion amounts out of human senses. As an input method of muscular sense, AHRS(Attitude Heading Reference System) was used to acquire roll, pitch and yaw values in real time. These three input values were converted into three elements of HSI color model such as intensity, hue and saturation, respectively. Final color signals were acquired by converting HSI into RGB color model. In addition, Three input values of muscular sense were converted into three elements of sound such as octave, scale and velocity, which were synthesized to give an output sound using MIDI(Musical Instrument Digital Interface). The analysis results of both output color and sound signals revealed that input signals of muscular sense were correctly converted into both color and sound in real time by the proposed conversion method.

Real Time Traffic Signal Recognition Using HSI and YCbCr Color Models and Adaboost Algorithm (HSI/YCbCr 색상모델과 에이다부스트 알고리즘을 이용한 실시간 교통신호 인식)

  • Park, Sanghoon;Lee, Joonwoong
    • Transactions of the Korean Society of Automotive Engineers
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    • v.24 no.2
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    • pp.214-224
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    • 2016
  • This paper proposes an algorithm to effectively detect the traffic lights and recognize the traffic signals using a monocular camera mounted on the front windshield glass of a vehicle in day time. The algorithm consists of three main parts. The first part is to generate the candidates of a traffic light. After conversion of RGB color model into HSI and YCbCr color spaces, the regions considered as a traffic light are detected. For these regions, edge processing is applied to extract the borders of the traffic light. The second part is to divide the candidates into traffic lights and non-traffic lights using Haar-like features and Adaboost algorithm. The third part is to recognize the signals of the traffic light using a template matching. Experimental results show that the proposed algorithm successfully detects the traffic lights and recognizes the traffic signals in real time in a variety of environments.

Design and Implementation of High Performance System with Reduced Hardware Architecture to Convert a Color Tone (감소된 하드웨어 구조를 가지는 고성능 색조 변환 시스템의 설계 및 구현)

  • 문오학;이호남;이봉근;강봉순;홍창희
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.4
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    • pp.1-8
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    • 2001
  • In this paper we propose high performance system with reduced hardware architecture to convert a color tone. Conversion for the color tone of a input image is necessary to calculate the color temperature of the image Conventional way of calculating the temperature uses algorithm using the method calculating 2-D chromaticity coordinates. But it requires bulky hardware[1]. This paper propose the color temperature calculation method about 1-D chromaticity coordinates that reduces the hardware complexity while keeping the performance of the 2-D color temperature algorithm . The proposed method is verified by fLCD-TV system using the Xilinx Virtex FPGA XCV 2000E-6BG560 that has 1344*806 resolution and requires a high-speed 65MHz operation.

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Real-Time 2D-to-3D Conversion for 3DTV using Time-Coherent Depth-Map Generation Method

  • Nam, Seung-Woo;Kim, Hye-Sun;Ban, Yun-Ji;Chien, Sung-Il
    • International Journal of Contents
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    • v.10 no.3
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    • pp.9-16
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    • 2014
  • Depth-image-based rendering is generally used in real-time 2D-to-3D conversion for 3DTV. However, inaccurate depth maps cause flickering issues between image frames in a video sequence, resulting in eye fatigue while viewing 3DTV. To resolve this flickering issue, we propose a new 2D-to-3D conversion scheme based on fast and robust depth-map generation from a 2D video sequence. The proposed depth-map generation algorithm divides an input video sequence into several cuts using a color histogram. The initial depth of each cut is assigned based on a hypothesized depth-gradient model. The initial depth map of the current frame is refined using color and motion information. Thereafter, the depth map of the next frame is updated using the difference image to reduce depth flickering. The experimental results confirm that the proposed scheme performs real-time 2D-to-3D conversions effectively and reduces human eye fatigue.

Block Truncation Coding using Reduction Method of Chrominance Data for Color Image Compression (색차 데이터 축소 기법을 사용한 BTC (Block Truncation Coding) 컬러 이미지 압축)

  • Cho, Moon-Ki;Yoon, Yung-Sup
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.49 no.3
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    • pp.30-36
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    • 2012
  • block truncation coding(BTC) image compression is known as a simple and efficient technology for image compression algorithm. In this paper, we propose RMC-BTC algorithm(RMC : reduction method chrominace data) for color image compression. To compress chrominace data, in every BTC block, the RMC-BTC coding employs chrominace data expressed with average of chrominace data and using method of luminance data bit-map to represented chrominance data bit-map. Experimental results shows efficiency of proposed algorithm, as compared with PSNR and compression ratio of the conventional BTC method.

Design of an 8-bit Color Adjustor for SDTV Using Verilog HDL (Verilog HDL을 이용한 SDTV용 8bit 색상 보정기의 설계)

  • Jeon, Byoung-Woong;Song, In-Chae
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.801-804
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    • 2005
  • In this paper, we designed an 8-bit color adjustor for SDTV using Verilog HDL. The conversion block requires a lot of multiplication. So we adopted Booth algorithm to reduce amount of operation and processing time. To improve speed, we designed the system output as parallel structure. We synthesized the designed system using Xilinx ISE and verified the operation through simulation using Modelsim.

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Robust pattern watermarking using wavelet transform and multi-weights (웨이브렛 변환과 다중 가중치를 이용한 강인한 패턴 워터마킹)

  • 김현환;김용민;김두영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.3B
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    • pp.557-564
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    • 2000
  • This paper presents a watermarking algorithm for embedding visually recognizable pattern (Mark, Logo, Symbol, stamping or signature) into the image. first, the color image(RGB model)is transformed in YCbCr model and then the Y component is transformed into 3-level wavelet transform. Next, the values are assembled with pattern watermark. PN(pseudo noise) code at spread spectrum communication method and mutilevel watermark weights. This values are inserted into discrete wavelet domain. In our scheme, new calculating method is designed to calculate wavelet transform with integer value in considering the quantization error. and we used the color conversion with fixed-point arithmetic to be easy to make the hardware hereafter. Also, we made the new solution using mutilevel threshold to robust to common signal distortions and malicious attack, and to enhance quality of image in considering the human visual system. the experimental results showed that the proposed watermarking algorithm was superior to other similar water marking algorithm. We showed what it was robust to common signal processing and geometric transform such as brightness. contrast, filtering. scaling. JPEG lossy compression and geometric deformation.

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Color Image Enhancement by Fundamental Vector Transformation and Nonlinear Mapping

  • Kim, Kyeong-Man;Lee, Cheol-Hee;Lee, Chae-Soo;Ha, Yeong-Ho
    • Journal of Electrical Engineering and information Science
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    • v.3 no.3
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    • pp.330-335
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    • 1998
  • In this paper, a new light-value approaching method to enhance a color image by excluding the effect of incident illumination is proposed. The method uses the fundamental vector transformation in which an estimated color of illumination is rotated to the white color of natural daylight. Then the transformed red, green, and blue values of each pixel are nonlinearly mapped into the 8-bit values to enhance intensity and saturation in the dark portion of the image. The proposed algorithm can produce the enhanced color image fast and efficiently without any space conversion or noticeable distortion.

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