• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.15-18
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• 2001

Recently, CMOS image sensor is rapidly used as an image capture device such as mobile phone or notebook PC. Because of poor quality of image by CMOS image sensor, ISP is essential step to improve image quality. In this paper, we implemented and simulated ISP algorithm for real time moving picture of CMOS image sensor. Especial Iy, we concentrated on color interpolation, which extracts three color component from uncompleted color information. Several algorithms for color interpolation are implemented and analyzed to acquire a good quality of picture. Finally, we proposed an improved algorithm and confirmed the effectiveness by experimental simulation results.

• 한국정보디스플레이학회:학술대회논문집
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• 2002.08a
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• pp.449-451
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• 2002

We reported the algorithm of driving scheme that enhances moving picture property by improving gray-to-gray response time. Here, we report result of simulation for estimation of driving voltage to reduce response time, and experimental result. We investigated optimization of algorithm so that minimum size of LUT can support to reducing the gray-to-gray response time within 1 frame period, and with single algorithm it is possible to apply the algorithm to various kinds of LC material. So in our system there is no external EEPROM.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1987.10a
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• pp.11-14
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• 1987

• Proceedings of the KIEE Conference
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• 1983.07a
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• pp.232-233
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• 1983

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.1
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• pp.1-8
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• 2018

It is not easy to learn simple expressions of moving picture data since it contains noise and a lot of information in addition to time-based information. In this study, we propose a similarity representation method and a deep learning method between sequential data which can express such video data abstractly and simpler. This is to learn and obtain a function that allow them to have maximum information when interpreting the degree of similarity between image data vectors constituting a moving picture. Through the actual data, it is confirmed that the proposed method shows better classification performance than the existing moving image classification methods.

• Journal of KIISE:Software and Applications
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• v.30 no.10
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• pp.925-937
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• 2003

The input of digital TV software is the Transport Stream, which utilizes the moving picture compression technique, MPEC-2 (Moving Picture Experts Groups-2). MPEG-2 TS consists of the complicated table hierarchy and internal relationships, as well as the various restrictions with regards to system standard of digital TV software in determining the field values of transport stream. However, the general MPEG-2 TS generation tool produces transport streams solely based on the MPEG-2 TS specification itself, and does not consider the interaction between modulo features or modules themselves, which construct digital TV software. In this paper, we propose a method to systematically generate MPEG-2 TS test data, namely‘Test Stream’, for digital TV software. We present the experiment result where the test stream derived from our developed tool according to the proposed method was applied to the actual digital TV software settop-box, and then analyze the result. Apart from other existing MPEG-2 TS generation tools, the advantage of our method is that not only is it capable of generating various levels of test streams including digital TV software module, integration, and system testing, but also detecting errors and analyzing their causes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.93-98
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• 2023

Recently, as the size of display devices tends to increase and taking pictures with smart phones has become commonplace, the need for taking high-resolution pictures with smart phones is increasing. However, when the lens size of a camera is limited, such as in a smartphone, there is a physical limit to increasing the resolution of a photo. This paper is about a technique for increasing the resolution of a picture even when using a small-sized lens like a smartphone camera. It is to take multiple pictures while moving the smartphone, and to increase the resolution by combining these pictures into one picture. First of all, two pictures were taken while moving the smartphone horizontally for the 2D picture. Processes such as camera matrix estimation, and homograph inverse transformation were performed using OpenCV, and the resolution was improved by synthesizing one picture. It was confirmed that the resolution was improved in parts such as oblique lines or arcs on several test pictures.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.397-400
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• 2017

Recently, a lot of images containing various global movements have been generated by the activation of the photographic equipment such as the drone and the action cam. In this case, when the motion such as rotation, scaling is generated, it is difficult to expect a high coding efficiency in the conventional inter-picture prediction method using the 2D motion vector. In this paper, we propose a video coding method that reflects global motion through homography reference pictures. As a proposed method, there are 1) a method of generating a new reference picture by grasping a global motion relation between a current picture and a reference picture by homography, and 2) a method of utilizing a homography reference picture for inter-picture prediction. The experiment was applied to the HEVC reference software HM 14.0, and the experimental result showed an increase in encoding efficiency of 6.6% based on RA. Especially, the results using the videos with rotational motion have a maximum coding efficiency of 32.6%, which is expected to show high efficiency in video, which is often represented by complex global motion such as drones.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.3
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• pp.258-268
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• 2001

The compression method is necessarily used to send the high quality moving picture that contains a number of data in image processing. In the field of moving picture compression method, the motion estimation algorithm is used to reduce the temporal redundancy. Block matching algorithm to be usually used is distinguished partial search algorithm with full search algorithm. Full search algorithm be used in this paper is the method to compare the reference block with entire block in the search window. It is very efficient and has simple data flow and control circuit. But the bigger the search window, the larger hardware size, because large computational operation is needed. In this paper, we design the full search block matching motion estimator. Using the DCT DC values, we decide luminance. And we apply 3 bit compare-selector using bit plane to I(Intra coded) picture, not using 8 bit luminance signals. Also it is suggested that use the same selective bit for the P(Predicted coded) and B(Bidirectional coded) picture. We compare based full search method with PSNR(Peak Signal to Noise Ratio) for C language modeling. Its condition is the reference block 8$\times$8, the search window 24$\times$24 and 352$\times$288 gray scale standard video images. The result has small difference that we cannot see. And we design the suggested motion estimator that hardware size is proved to reduce 38.3％ for structure I and 30.7％ for structure II. The memory is proved to reduce 31.3％ for structure I and II.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.495-498
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• 2003

The authoring technique in 3D stereoscopic technology has dealt in virtual stereoscopic contents. Thus authoring technique for stereoscopic pictures is insufficient. In this paper, we propose the method for authoring stereo scenes with a stereoscopic still picture and moving pictures. And there are no standards for stereoscopic contents in MPEG-4 systems. Thus we propose the extended MPEG-4 systems to support an interactive service with stereoscopic contents. We define new nodes for stereoscopic contents.