• Title/Summary/Keyword: inter-color correlation

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An Adaptive Filtering Method for Enhancement of Inter-color Plane Estimation in HEVC RExt RGB Images (HEVC RExt RGB 영상의 색평면 간 예측 향상을 위한 적응적 필터링 기법)

  • Choi, Jangwon;Choe, Yoonsik
    • Journal of Broadcast Engineering
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    • v.18 no.4
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    • pp.647-650
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    • 2013
  • HEVC RExt(High Efficiency Video Coding Range Extension) set a goal to support RGB/YUV 4:2:2 4:4:4 color sampling and over 10 bit-depth images. Unlike the previous 4:2:0 color sampling images, RGB images have the high correlation in inter-color planes. Using this characteristic, some methods which are contributed in JCT-VC standardization meetings estimate the pixel values of inter-color plane. But when we use the estimation of inter-color plane in RGB images, high frequency components of RGB images are caused to reduce the coding efficiency because they usually have the low inter-color plane correlation. Therefore, in this paper, we propose an adaptive low pass filtering method in the inter-color plane estimation. Using this method, we can improve the estimation efficiency of inter-color plane in RGB images. The experimental results with HEVC RExt RGB test sequences show that the proposed method has 0.6% BD(Bjontegaard Distortion)-rate gain and some increased complexity compared to the previous inter-color plane estimation method.

Enhanced RGB Video Coding Based on Correlation in the Adjacent Block (인접블록의 상관관계에 기반한 RGB video coding 개선 알고리즘)

  • Kim, Yang-Soo;Jeong, Jin-Woo;Choe, Yoon-Sik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.12
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    • pp.2538-2541
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    • 2009
  • H.264/AVC High 4:4:4 Intra/Predictive profiles supports RGB 4:4:4 sequences for high fidelity video. RGB color planes rather than YCbCr color planes are preferred by high-fidelity video applications such as digital cinema, medical imaging, and UHDTV. Several RGB coding tools have therefore been developed to improve the coding efficiency of RGB video. In this paper, we propose a new method to extract more accurate correlation parameters for inter-plane prediction. We use a searching method to determine the matched macroblock (MB) that has a similar inter-color relation to the current MB. Using this block, we can infer more accurate correlation parameters to predict chroma MB from luma MB. Our proposed inter-plane prediction mode shows an average bits saving of 15.6% and a PSNR increase of 0.99 dB compared with H.264 high4:4:4 intra-profile RGB coding. Furthermore, extensive performance evaluation revealed that our proposed algorithm has better coding efficiency than existing algorithms..

Single Image Enhancement Using Inter-channel Correlation

  • Kim, Jin;Jeong, Soowoong;Kim, Yong-Ho;Lee, Sangkeun
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.3
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    • pp.130-139
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    • 2013
  • This paper proposes a new approach for enhancing digital images based on red channel information, which has the most analogous characteristics to invisible infrared rays. Specifically, a red channel in RGB space is used to analyze the image contents and improve the visual quality of the input images but it can cause unexpected problems, such as the over-enhancement of reddish input images. To resolve this problem, inter-channel correlations between the color channels were derived, and the weighting parameters for visually pleasant image fusion were estimated. Applying the parameters resulted in significant brightness as well as improvement in the dark and bright regions. Furthermore, simple contrast and color corrections were used to maintain the original contrast level and color tone. The main advantages of the proposed algorithm are 1) it can improve a given image considerably with a simple inter-channel correlation, 2) it can obtain a similar effect of using an extra infrared image, and 3) it is faster than other algorithms compared without artifacts including halo effects. The experimental results showed that the proposed approach could produce better natural images than the existing enhancement algorithms. Therefore, the proposed scheme can be a useful tool for improving the image quality in consumer imaging devices, such as compact cameras.

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Lossless Color Image Compression using Inter-channel Correlation (채널 간 상관관계를 이용한 무손실 컬러 이미지 압축)

  • Kim, Se-Yun;Cho, Nam-Ik
    • Journal of Broadcast Engineering
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    • v.16 no.6
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    • pp.962-968
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    • 2011
  • The conventional lossless compression of color images is to apply a compression method to each of color components separately, without considering the channel correlation. There had been several methods that consider the channel correlation, but they were confined to the compression of satellite or aerial images only, and the performance of these algorithms to general photos is not satisfactory. This paper proposes a new lossless color image compression method that exploits the correlation between the color components. Specifically, asymmetric sampling is applied to transform an image into mosaic image and the rest, which are compressed separately. By using the information from the compressed mosaic image, the rest images are predicted for further reducing the information to be compressed. Experimental results show that the proposed method improves the compression performance by 35% over the conventional separate compression methods and 10% over the existing methods that exploit the channel correlation.

Enhanced Prediction for Low Complexity Near-lossless Compression (낮은 복잡도의 준무손실 압축을 위한 향상된 예측 기법)

  • Son, Ji Deok;Song, Byung Cheol
    • Journal of Broadcast Engineering
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    • v.19 no.2
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    • pp.227-239
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    • 2014
  • This paper proposes an enhance prediction for conventional near-lossless coder to effectively lower external memory bandwidth in image processing SoC. First, we utilize an already reconstructed green component as a base of predictor of the other color component because high correlation between RGB color components usually exists. Next, we can improve prediction performance by applying variable block size prediction. Lastly, we use minimum internal memory and improve a temporal prediction performance by using a template dictionary that is sampled in previous frame. Experimental results show that the proposed algorithm shows better performance than the previous works. Natural images have approximately 30% improvement in coding efficiency and CG images have 60% improvement on average.

An Edge Directed Color Demosaicing Algorithm Considering Color Channel Correlation (컬러 채널 상관관계를 고려한 에지 방향성 컬러 디모자이킹 알고리즘)

  • Yoo, Du Sic;Lee, Min Seok;Kang, Moon Gi
    • Journal of Broadcast Engineering
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    • v.18 no.4
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    • pp.619-630
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    • 2013
  • In this paper, we propose an edge directed color demosaicing algorithm considering color channel correlation. The proposed method consists of local region classification step and edge directional interpolation step. In the first step, each region of a given Bayer image is classified as normal edge, pattern edge, and flat regions by using intra channel and inter channel gradients. Especially, two criteria and verification process for the normal edge and pattern edge classification are used to reduce edge direction estimation error, respectively. In the second step, edge directional interpolation process is performed according to characteristics of the classified regions. For horizontal and vertical directional interpolations, missing color components are obtained from interpolation equations based on intra channel and inter channel correlations in order to improve the performance of the directional interpolations. The simulation results show that the proposed algorithm outperforms conventional approaches in both objective and subjective terms.

Enhanced Prediction Algorithm for Near-lossless Image Compression with Low Complexity and Low Latency

  • Son, Ji Deok;Song, Byung Cheol
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.2
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    • pp.143-151
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    • 2016
  • This paper presents new prediction methods to improve compression performance of the so-called near-lossless RGB-domain image coder, which is designed to effectively decrease the memory bandwidth of a system-on-chip (SoC) for image processing. First, variable block size (VBS)-based intra prediction is employed to eliminate spatial redundancy for the green (G) component of an input image on a pixel-line basis. Second, inter-color prediction (ICP) using spectral correlation is performed to predict the R and B components from the previously reconstructed G-component image. Experimental results show that the proposed algorithm improves coding efficiency by up to 30% compared with an existing algorithm for natural images, and improves coding efficiency with low computational cost by about 50% for computer graphics (CG) images.

A Study on Complex Architectural Color Characteristics and Change of Meaning Structure (복합적 의미의 건축 색채특성과 의미체계 변화에 관한 연구)

  • Lee Seon-Min;Lee Young-Soo
    • Korean Institute of Interior Design Journal
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    • v.14 no.6 s.53
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    • pp.212-219
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    • 2005
  • As the development of digital and technological sophistication, architectural speculation hierarchy had been more and further diversified and brought on the changes with system of architectural color meaning. Architectural color had been influences on evocation of effect and meaning by association, had the attributes of communication with human being, in common with precision, non-verbal and non-quantitative creative field. Color could not been defined as one conclusively standard symbol and figured out in inter-relationship with correlation, mental status and interaction. Color in architecture could been promptly defined as the tool of visualization in building or structure through the essential criterion to be measured with shape, space and author's thought. In consequence, color in architecture could been re-defined as the speculation concept for real characteristics creation(color as design factors on architect and color to be expressed by program) in itself, and color supporting system as for transposition of light and space enlargement scheme. Consequently, color in architecture could been turnover from perceived color to anthropological color through the real value creation scheme in itself.

A Color Interpolation Method for Improved Edge Sensing (에지 선별을 개선한 컬러 보간법)

  • Cho, Yang-Ki;Kim, Hi-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.12C
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    • pp.1216-1223
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    • 2006
  • In many imaging devices, a single image sensor is used, which is covered by a color filter array to filter out the specific color components from light. Since an image acquired from this image sensors have a color components at each pixel, it is needed to be reconstructed to a perfect image. In this paper, a new color interpolation method for the imaging devices having a single image sensor is proposed. The proposed method improves a edge sensing function to obtain satisfactory results in edges of an image, md presents a new inter-channel correlation for improving interpolation performance in smooth region. We have compared our method with several exiting methods, and our experimental results have proved better interpolation performance in comparing with the other results.

Prediction of successful caudal epidural injection using color Doppler ultrasonography in the paramedian sagittal oblique view of the lumbosacral spine

  • Yoo, Seon Woo;Ki, Min-Jong;Doo, A Ram;Woo, Cheol Jong;Kim, Ye Sull;Son, Ji-Seon
    • The Korean Journal of Pain
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    • v.34 no.3
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    • pp.339-345
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    • 2021
  • Background: Ultrasound-guided caudal epidural injection (CEI) is limited in that it cannot confirm drug distribution at the target site without fluoroscopy. We hypothesized that visualization of solution flow through the inter-laminar space of the lumbosacral spine using color Doppler ultrasound alone would allow for confirmation of drug distribution. Therefore, we aimed to prospectively evaluate the usefulness of this method by comparing the color Doppler image in the paramedian sagittal oblique view of the lumbosacral spine (LS-PSOV) with the distribution of the contrast medium observed during fluoroscopy. Methods: Sixty-five patients received a 10-mL CEI of solution containing contrast medium under ultrasound guidance. During injection, flow was observed in the LSPSOV using color Doppler ultrasonography, following which it was confirmed using fluoroscopy. The presence of contrast image at L5-S1 on fluoroscopy was defined as "successful CEI." We then calculated prediction accuracy for successful CEI using color Doppler ultrasonography in the LS-PSOV. We also investigated the correlation between the distribution levels measured via color Doppler and fluoroscopy. Results: Prediction accuracy with color Doppler ultrasonography was 96.9%. The sensitivity, specificity, positive predictive value, and negative predictive value were 96.7%, 100%, 100%, and 60.0%, respectively. In 52 of 65 patients (80%), the highest level at which contrast image was observed was the same for both color Doppler ultrasonography and fluoroscopy. Conclusions: Our findings demonstrate that color Doppler ultrasonography in the LS-PSOV is a new method for determining whether a drug solution reaches the lumbosacral region (i.e., the main target level) without the need for fluoroscopy.