• Title/Summary/Keyword: Overdrive technique

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Overdrive Frame Memory Reduction Using a Fast Discrete Wavelet Transform (고속 이산 웨이블릿 변환을 이용한 Overdrive 프레임 메모리 축소)

  • Seong, Jeong-Hoon;Moon, Hyeok;Chun, Ik-Jae;Kim, Bo-Gwan
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.933-936
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    • 2005
  • Applications of LCD panel are getting more increased for motion-image applications. However, when the motion-images are displayed on LCD panels, they may be blurred due to slow response time of liquid crystal (LC). One of the solutions of the problem is overdrive technique. The technique has a lot of memory usage. In this paper, we propose a reduction method of the frame memory that is required for LCD overdrive. Proposed overdrive architecture consists of line-based lifting integer (5, 3) DWT filter for image data reduction and BLI (Bi-Linearly Interpolation) LUT for pixel value accelerating.

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A Overdrive Technique Architecture for the Frame Memory Reduction based on DWT and Color Conversion (Frame Memory 축소를 위한 DWT와 Color Conversion 기반의 Overdrive 구조)

  • Byeon, Jin-Su;Kim, Hyeon-Seop;Kim, Do-Seok;Jeon, Eun-Seon;Hong, In-Seong;Kim, Bo-Gwan
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.1
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    • pp.85-91
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    • 2009
  • Recently, the LCD has high market share in TV market. The use of motion images in portable devices like DMB, PMP and Cell Phone is growing rapidly. One of the technique of enhancing the LCD's characteristic which is the slow response time. But, the technique requires a lot of memory usage, because of the requirement of frame memory. In this paper, we propose a reduction method for the frame memory that is required for LCD overdrive. Proposed overdrive architecture based on modified DWT-Inverse DWT and Color Conversion. The proposed architecture has a considerable PSNR. At once, it uses 50% of frame memory size and reduces 15% of frame memory size compare with previous architecture. The design was implemented using Xilinx Vertex4 and had 2172 Slice except Memory.

Low Cost, High Performance, and Effective Overdrive Implementation Method for LCD Systems

  • Cho, Young-Min;Park, Chan-Soo;Bhowmik, Achintya;Lee, Seung-Woo
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.1168-1171
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    • 2009
  • We propose a low cost, high performance, effective overdrive implementation method for liquid crystal display systems. The technique can calculate all overdrive values using higher order approximation algorithm by only three measurements. We find that our technique can be applied regardless of LCD panels. Due to its simplicity, we can also tune motion performance of the LCD systems without measurements.

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Multi-Mode BTC Image Compression Algorithm for LCD Overdriving (LCD 오버드라이브를 위한 다중 모드 BTC 영상 압축 알고리즘)

  • Cho, Moonki;Yoon, Yungsup
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.3
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    • pp.67-74
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    • 2015
  • BTC (Block Truncation Coding) image compression is simple to implement by hardware and has excellent edge retention capability of image, image compression techniques are widely used in LCD overdrive. In this paper, to maintain high visual quality and has high compression rate, Multi-Mode BTC (MM-BTC) algorithm is proposed. The MM-BTC has high compression rate using advanced Y-based BTC method and has high visual quality using improved 2-level and 4-level BTC method in this paper. As shown in simulation results, MM-BTC improves still image PSNR (Peak Signal to Noise Ratio) up to 2.34 dB as compared with other algorithms. When the MM-BTC is applied to LCD overdrive, MM-BTC improves moving picture PSNR up to 2.33 dB as compared with other algorithms in literature.

BTC Algorithm Utilizing Compression Method of Bitmap and Quantization data for Image Compression (비트맵과 양자화 데이터 압축 기법을 사용한 BTC 영상 압축 알고리즘)

  • Cho, Moonki;Yoon, Yungsup
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.10
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    • pp.135-141
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    • 2012
  • To reduce frame memory size usage in LCD overdrive, block truncation coding (BTC) image compression is commonly used. For maximization of compression ratio, BTC image compression is need to compress bitmap or quantization data. In this paper, for high compression ratio, we propose CMBQ-BTC (CMBQ : compression method bitmap data and quantization data) algorithm. Experimental results show that proposed algorithm is efficient as compared with PSNR and compression ratio of the conventional BTC method.

On the Characteristics of the Droplet Formation from an Inkjet Nozzle Driven by a Piezoelectric Actuator (피에조 구동형 잉크젯 노즐에서의 미세 액적 형성 특성)

  • Shin, Pyung-Ho;Sung, Jae-Yong;Lee, Suk-Jong
    • Journal of the Korean Society of Visualization
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    • v.6 no.1
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    • pp.47-52
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    • 2008
  • The present study has focused on the characteristics of droplet formation from an inkjet nozzle driven by a piezoelectric actuator. As an operating fluid, ethylene glycol was used and the physical properties of it such as viscosity, surface tension, contact angle and shear stress were measured. During the experiments, various temperatures and driving voltages are imposed on a capillary tube. These conditions result in a proper drive condition or an overdrive condition. In case of the proper drive condition, an image processing technique is applied to measure the diameter of a single free drop. As a result, the size of droplet is increased when the driving voltage is increased from 160 V to 190 V at 25$^{\circ}C$ In the overdrive condition where temperature or driving voltage becomes higher than the proper drive condition, satellites and the misdirected jets happen.

BTC Algorithm Utilizing Multi-Level Quantization Method for Image Compression (Multi-Level 양자화 기법을 사용한 BTC 영상 압축 알고리즘)

  • Cho, Moonki;Yoon, Yungsup
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.114-121
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    • 2013
  • BTC image compression is a simple and easy hardware implementation, is widely used in a video compression techniques required for LCD overdrive. In this paper, methods for reducing compression loss, a multi-level quantization BTC (MLQ-BTC) algorithm is proposed. The process of the MLQ-BTC algorithm is, a input image is compressed and decompressed by Quasi 8-level method and Advanced 2-level BTC method, and select the algorithm with the smallest compression loss. Simulation results show that the proposed algorithm is efficient as compared with PSNR and compression ratio of the existing BTC methods.

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.