• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.159-167
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• 2013

In stereo-view system, variations of target camera position or lighting conditions cause discrepancies on the luminance and chrominance components of stereo views. These discrepancies lead to inaccurate frame view prediction and low quality of 3 D video coding. In this paper, an efficient histogram interval calibration method is proposed for stereo-view coding, so as to compensate for the luminance component of target view. First the proposed method is analyzed by the histogram of the target image frame. Then, it divide two sections of histogram of that frame to correct the color discrepancies. Secondly, each section of the target frame is corrected the luminance component by identify the maximum matching region between the reference frame and the target frame. We have verified our proposed histogram matching method in comparison with the other color correction ones. Experimental results show that it can correct better luminance calibration results of PSNR(Peak Signal to Noise Ratio) and has less computation time.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.579-582
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• 1997

The two dimnesional echocardiography is widely used to evaluate regional wall motion abnormaility, because of its abilities to depict left ventricluar wall motion. A new method, color kinesis is a technology or echocardiographic assessment of left ventricular wall motion. In this paper, we proposed a algorithm or color kinesis which is based on acoustic quantification and automatically detects endocardial motion during systole on a frame-by-frame basis. The echocardiograms were obtained in the short-axis views in normal subjects. Automated edge detection and endocardial contour tracing algorithm was applied to each frames, quantitative analysis based on segmentation was performed, and pre-defined color overlays superimposed on the gray scale images. Segmental analysis of color kinesis provided automated, quantitative diagnosis of regional wall motion abnormality.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.77-82
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• 2017

The first objective of this paper is to develop the frame of design analysis and color plan strategy for the entire brand. A variety of analyses were carried out on the base of the I.R.I system and the semiotic viewpoint to develop the analysis frame for the entire brand meaning and color. The major part of the research is assigned to secure the validity of the analysis framework that is to be applied to the brand environment. Also, by SWOT analysis, analysis consistency has been maintained in design integration based on color frame. And theoretical review was made on color strategy planning. Through this, we attempt to explore the role of total brand strategy and color design requirements and analysis process. As a result, visualization of brand and color has been established by conceptualizing the ideal-type of commercial success. In conclusion, we have demonstrated the results of image analysis of whole brand through commercialization, visualization and expression through analysis and application of design process of total brand, and also showed the process of optimizing color design plan.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.219-222
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• 2001

Moving objects in video data are main elements for video analysis and retrieval. In this paper, we propose a new algorithm for tracking and segmenting moving objects in color image sequences that include complex camera motion such as zoom, pan and rotating. The Proposed algorithm is based on the Mean-shift color segmentation and stochastic region matching method. For segmenting moving objects, each sequence is divided into a set of similar color regions using Mean-shift color segmentation algorithm. Each segmented region is matched to the corresponding region in the subsequent frame. The motion vector of each matched region is then estimated and these motion vectors are summed to estimate global motion. Once motion vectors are estimated for all frame of video sequences, independently moving regions can be segmented by comparing their trajectories with that of global motion. Finally, segmented regions are merged into the independently moving object by comparing the similarities of trajectories, positions and emerging period. The experimental results show that the proposed algorithm is capable of segmenting independently moving objects in the video sequences including complex camera motion.

• Journal of the Korea Society of Computer and Information
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• v.18 no.6
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• pp.55-61
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• 2013

TSexual violence is physical and mental violence that violates the sexual self-determination contrary to the intention of the other party such as rape, forced molestation, sexual harassment, caught hidden camera. It is one of the many criminal acts that male is perpetrators and female is victims. Sexual harassment, one of the sexual violence is forced sexual harassment. It is considered a color frame where each pixel has 3 color components such that RGB. The averaging the absolute difference between the current frame and te next frame is divided by the absolute difference between the current frame and the previous frame. If there was a difference between the frame pair before a scene change the discontinuity value indicating a scene change could be relatively small. Therefore, Thus, the use of the redefined equation and redefined algorithm can be seen as it is much more good via experiment.

• ETRI Journal
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• v.34 no.1
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• pp.138-141
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• 2012

This letter proposes a real-time digital image stabilization system for cell phone cameras without the need for frame memory. The system post-processes an image captured with a safe shutter speed using an adaptive denoising filter and a global color correction algorithm. This system can transfer the normal brightness of an image previewed under long exposure to the captured image making it bright and crisp with low noise. It is even possible to take photos in low-light conditions. By not needing frame memory, the approach is feasible for integration into the size-constrained image sensors of cell phone cameras.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.213-216
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• 2001

Key frame extraction is an important method of summarizing a long video. This paper propose a technique to automatically extract several key frames representative of its content from video. We use the color layout descriptor to select key frames from video. For selection of key frames, we calculate similarity of color layout features extracted from video, and extract key frames using similarity. An important aspect of our algorithm is that does not assume a fixed number of key frames per video; instead, it selects the number of appropriate key frames of summarizing a long video Experimental results show that our method using color layout descriptor can successfully select several key frames from a video, and we confirmed that the processing speed for extracting key frames from video is considerably fast.

• Journal of Biosystems Engineering
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• v.26 no.3
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• pp.253-262
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• 2001

This study was conducted to develop the vision system of a robotic transplanter for plug-seedling. A color image processing algorithm was developed to identify and locate empty cells and bad plants in the seedling tray. The image of pepper and tomato seedling tray was segmented into regions of plants, frame and soil using threshold technique which utilized Q of YIQ for finding leaves and H of HSI for finding frame of tray in the color coordinate system. The recognition system was able to successfully identify empty cells and bad seeding and locate their two-dimensional locations. The overall success rate of the recognition system was about 99%.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.58-61
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• 2000

In this paper, we describe an effective method to enhance the color night images with spatio-temporal multi-scale retinex focused to the Intelligent Transportation System (ITS) applications such as in the single CCD based Electronic Toll Collection System (ETCS). The basic spatial retinex is known to provide color constancy while effectively removing local shades. However, it is relatively ineffective in night vision enhancement. Our proposed method, STMSR, exploits the iterative time averaging of image sequences to suppress the noise in consideration of the moving vehicles in image frame. In the STMSR method, the spatial term makes the dark images distinguishable and preserves the color information day and night while the temporal term reduces the noise effect for sharper and clearer reconstruction of the contents in each image frame. We show through representative simulations that incorporating both terms in the modeling produces the output sequential images visually more pleasing than the original dim images.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.1255-1258
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• 2006

PM OLED has the line-disturbance when eyes can detect the driving line status in the shaking situation. It is closely related with the lighting intensity and the lighting time during the line driving. .In this paper we suggest the frame part method for eliminating lineflash appearance. Frame part is a driving method of PM OLED, which divides one frame into several inner-frame parts to reduce the color interference between closely related pixels and to lessen the lineflash appearance which disturbs viewer to perceive the images. Frame part groups one frame into several inner-frame parts and have inner-frame rate higher than the frame rate. Frame part could be used in most of applications in PM OLED systems to enhance the total performance of screen quality.