• Journal of KIISE:Computing Practices and Letters
• /
• v.13 no.5
• /
• pp.252-259
• /
• 2007

With the rapid development of multimedia applications and wireless communication networks, consumer demand for video-over-wireless capability on mobile computing systems is growing rapidly. In this regard, this paper introduces YUV-aware instructions that enhance the performance and efficiency in the processing of color image and video. Traditional multimedia extensions (e.g., MMX, SSE, VIS, and AltiVec) depend solely on generic subword parallelism whereas the proposed YUV-aware instructions support parallel operations on two-packed 16-bit YUV (6-bit Y, 5-bits U, V) values in a 32-bit datapath architecture, providing greater concurrency and efficiency for color image and video processing. Moreover, the ability to reduce data format size reduces system cost. Experiment results on a representative dynamically scheduled embedded superscalar processor show that YUV-aware instructions achieve an average speedup of 3.9x over the baseline superscalar performance. This is in contrast to MMX (a representative Intel#s multimedia extension), which achieves a speedup of only 2.1x over the same baseline superscalar processor. In addition, YUV-aware instructions outperform MMX instructions in energy reduction (75.8% reduction with YUV-aware instructions, but only 54.8% reduction with MMX instructions over the baseline).

• The Transactions of the Korea Information Processing Society
• /
• v.1 no.4
• /
• pp.541-550
• /
• 1994

A true color image is needed many data on the occasion of the transmission and storage. Therefore, we want to describe color image by a minority data without unreasonableness at eyesight. In this paper, it is presented 256 colormap construction method in RGB, YIQ/YUV space and common colormap expression method at merge between colormaps by reason of dissimilar original color image to display at a monitor for each other colormap at the same time. In comparison with processed result in RGB, YIQ/YUV space, it was measured by PSNR, standard variation, and edge preservation rate using sobel operator. Process time is 3second in colormap construction and 2second in merge between colormaps. In the PSNR value, RGB space has higher 0.15, 0.34 on an average than YIQ and YUV spae. Standard variation has lower in 0.15, 0.41 on an average than Yiq and YUV space. But in the data compression, YIQ/YUV space have about 1/3 compression efficiency than RGB space by reason of use to only 4bit of 8bit in color component.

• The KIPS Transactions:PartD
• /
• v.13D no.1 s.104
• /
• pp.125-132
• /
• 2006

The existing recognition system of license plates cannot get the satisfactory result in noise environments. The purpose of this paper is to propose an algorithm that can recognize the region of license plates accurately in a noise environment. The algorithm is formulated by reorganizing the U- and V-channels of YUV color space as YUV is insensitive to light and carries less data than RGB color information. The region of license plates has been extracted by the geometric characteristics, sizes, and places of labeling images. The proposed algorithm was found to improve the process of extracting the region of license plates in various noise environments.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2012.07a
• /
• pp.447-450
• /
• 2012

본 논문은 최근 수요와 관심이 급증하고 있는 초고선명 4K-UHD 영상의 방송TV 서비스 도입시에 영상의 시청환경 및 신호규격 선정의 가이드라인을 제공하는 것을 목표로 HEVC 코덱(HM5.0 참조 소프트웨어)으로 부/복호화 한 4K-UHD 영상에 대한 주관적 화질평가를 결과를 제시한다. ITU-R BT.500의 권고에 따라 DSIS 방법으로 실험 하였으며, 원본 영상 대비 목표 비트율(18, 23, 36 Mbps), 컬러 포맷(YUV444, YUV420), 시청거리(0.75H, 1.5H) 변화에 따른 주관적 화질 평기를 수행하였다. 실험결과 시청거리가 가깝고 비트율이 18Mbps로 낮게 책정한 조건에서도 평균 의사 점수(MOS)는 4.65로서 피 실험자들은 화질 차이를 거의 느끼지 못하는 것으로 나다났다. 또한 동일한 비트율 조건에서 컬러 포맷을 YUV444와 YUV420에 대한 비교 실험에서 각각 MOS 값은 4.71과 4.81로 측정 되었으며, 평가자들은 채도(Chrominance)의 해상도 보다 전체적인 PSNR이 높을수록 높은 MOS 값을 주었다. 이는 동일 비트율 대비 YUV444보다 YUV420의 컬러 포맷이 더 높은 주관적 화질을 가짐을 의미한다. 본 실험을 통해 HEVC 코덱을 사용하여 현재의 방송 대역폭 조건에 UHD 영상도 충분히 고품질로 전송 가능하며, 영상의 컬러 포맷은 YUV420가 YUV444 방식보다 동일 비트율 대비 더 높은 화질을 가질 것이라고 예상 할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.2
• /
• pp.20-25
• /
• 2019

Most multimedia signals contain image data, so the problem of efficient processing and transmitting the image data is an important task of the information society. This paper proposes a compression algorithm that reduces the color bits according to importance using YUV color space among the various methods of compressing image data. 4: 2: 2 subsampling is the standard in the field of video. Using the color information and the characteristics of the human retina, YUV color data was reduced by 4: 2: 2 subsampling. The YUV images and RGB images can be interconverted using the transformation matrix. The image data was converted into color space by YUV, and the relatively low U and V bits were subjected to a downscaling operation. The data was then compressed through 4: 2: 2 subsampling. The performance of the proposed algorithm was compared and analyzed by a comparison with existing methods. As a result of the analysis, it was possible to compress the image without reducing the information of the low importance color element and without significant deterioration in the quality compared to the original.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11a
• /
• pp.641-644
• /
• 2002

얼굴 특징점 추출은 현재 많은 연구가 활발히 진행되고 있는 분야로 보안, 인식 등 다양한 응용분야를 갖는다. 본 논문에서는 PC 카메라 및 주민등록증에 있는 사진을 스캔하여 얼굴 특징점을 정확하고 빠른 계산 시간안에 찾을 수 있는 새로운 방법을 제시한다. RGB 색공간을 YUV로 변환하여 Y성분을 히스토그램 균등화 시켜 휘도에 관계없이 얼굴 피부색을 추출한 후 YUV의 V성분을 변형한 V'성분을 이용하여 얼굴의 특징점을 찾는 방법이다. 실험결과 주민등록증 사진과 PC 카메라에서 입력 받은 얼굴 영상이 오류 없이 추출됨이 관찰되었다.

• Journal of Korea Multimedia Society
• /
• v.9 no.4
• /
• pp.443-450
• /
• 2006

In digital image communication systems, YUV 4:2:0 or YUV 4:2:2 images filtered and subsampled versions of YUV 4:4:4 images are utilized and these images recover their size by an interpolation filter. Low pass filters and interpolation filters in the image communication systems are generally utilized. Thus, to improve the image quality, efficient low pass filters and interpolation filters are still required. In this paper, we propose new and efficient low pass filters and interpolation filters and their design method. The low pass filters and interpolation filters used in the MPEG-2 system were developed independently. We utilize wavelet transforms to jointly design low pass filters and interpolation filters. Simulation results show that the proposed filters are superior to the filters used in MPEG-2 in terms of PSNR. In addition, the length of the proposed interpolation filters is shorter than that of the filters used in the MPEG 2 system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.656-659
• /
• 2012

In general, images captured by the color filter array are compressed after applying demosaicking process. Since this process introduces data redundancy which can reduce coding efficiency, several methods have been proposed to address this problem. While some conventional approachs convert color format to GBR or YUV 4:2:2 format, we propose to use the YCoCg 4:2:2 format to carry out compression. The proposed method shows an average bits reduction of 3.91% and PSNR increase of 0.04dB compared with H.264 YUV 4:2:0 intra-profile prediction method.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.12
• /
• pp.1765-1774
• /
• 2002

A face recognition is currently the field which many research have been processed actively. But many problems must be solved the previous problem. First, We must recognize the face of the object taking a location various lighting change and change of the camera into account. In this paper, we proposed that new method to fund feature within fast and correct computation time after scanning PC camera and ID card picture. It converted RGB color space to YUV. A face skin color extracts which equalize a histogram of Y ingredient without the luminance. After, the method use V' ingredient which transformes V ingredient of YUV and then find the face feature. The reult of the experiment shows getting correct input face image from ID Card picture and PC camera.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2004.05b
• /
• pp.599-602
• /
• 2004

In this paper, an automatic setting method of control parameters for robot scorer is proposed. First we acquisited some local image lesions including robots and ball patch, and sampled the regions to RCB value. Edge operator is applied to get magnitude of gradient at each pixel. Some effective patch regions can be detected by magnitude of gradient, and YUV value at each pixel in patch lesions can be obtained. We can determine control parameters of robot soccer using luminance component of YUV. The proposed method is applied to robot soccer image to detect initial patch value and get control parameters adaptively in light variation.