• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.383-390
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• 2008

Block based transform coding is most popular approach for image and video compression. However it suffers from severe quality degradation especially from blocking artifacts. The subjective quality degradation caused by such blocking artifacts in general does not agree well with an objecive quality measurement such as PSNR. Hence new quality evaluation technique is necessary. We propose a new image quality assessment method by measuring blocking artifacts for block based transform coded images. In order to characterize blocking artifacts, proposed method utilizes the facts that, blocking artifacts, when occur, have different pixel values along the block boundaries and such differences usually continuously span along the whole boundaries. This method does not require the original uncompressed image. It operates on single block boundary and quantifies the amount of blocking artifacts on it. Experiments on various compressed images various bitrates show that proposed quantitative measure of blocking artifacts matches well with the subjective quality of them judged by human visual system.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.5
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• pp.11-19
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• 2007

This paper presents an objective video quality evaluation method for digital mobile video. The proposed method is to objectify subjective quality by extracting edge region feature metric and blockiness effect. To evaluate performance of proposed algorithm, we carried out subjective video qualify test with the DSCQS method and obtained mean opinion score(MOS) values for CIF/QCIF 140 video clips. We compared error of proposed method with that of existing. The experiment results show that the proposed method has 25% higher performance.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.119-122
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• 2006

홍채인식 시스템의 성능은 입력된 눈 영상으로부터 정확한 홍채 영역의 검출 및 효율적인 홍채코드의 생성 등의 영향을 받으나, 이를 위해서는 입력된 눈 영상에서 홍채 패턴이 선명해야 한다는 선행 조건이 존재한다. 초점이 맞지 않아 흐리게 나온 영상 눈을 감은 영상, 속눈썹에 의해 홍채영역이 가려진 영상, 움직임에 의해 블러링된 영상, 또는 홍채가 아닌 속눈썹 등의 다른 부분에 초점이 맞춰진 영상 등에서는 선명한 홍채 패턴을 얻을 수 없으므로 전체 인식 성능을 떨어뜨리는 요인이 된다. 그러므로 이러한 영상들을 자동으로 걸러내 제거해주는 눈 영상 화질 측정 방법이 필요하다. 본 논문에서는 눈 영상의 초점이 잘 맞는지 측정하는 방법을 제안하고 자체적으로 획득한 데이터베이스를 이용해 이를 테스트하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.475-479
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• 2006

환자의 체동은 MRI에 의해 제공된 영상의 화질을 저하시키는 주된 원인이 되고 있다. 이에 본 논문에서는 MRI내 3차원 강체운동에 기인한 아티팩트를 제거하는 방법을 제안한다. 이러한 제거 목표를 달성하기 위해 MRI 영상 데이터를 얻기위한 2차원 다-슬라이스 방법(a multiple two dimensional slice technique)이 사용되어 왔다. 대상물체의 운동에 해당하는 수집된 MRI 데이터는 불균일한 표본화와 위상오차에 의해 영향을 받게된다. 3차원 강체운동에 대해 주어진 운동 파라메타와 장면간의 영향이라는 가정하에 양선형 보간법과 중첩법으로 다-슬라이스 데이터를 사용하는 방법에 기초한 재구성 알고리즘을 MRI 아티팩트를 제거하는데 사용한다. 미지의 체동 파라메타를 추정하기 위해 3차원 강체운동은 다-슬라이스 취득방법의 각 영상과 결합된 관심영역 바깥쪽에서 측정된 에너지를 증가시킨다는 사실을 이용하는 최소에너지법을 사용한다. 본 방법의 유효성을 확인하기 위해 3차원 강체운동에 의해 화질이 저하된 스핀-에코우 영상에 적용한 결과 화질이 식별될 수 있을 정도로 개선됨을 확인하였다.

• Journal of Broadcast Engineering
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• v.18 no.2
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• pp.283-296
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• 2013

Various video services with networks are increasingly available as smart phones, computers and IPTV are widely used. However, transmission over networks may experience transmission errors due to traffic increases and noise. As a result, video quality may suffer. Therefore, quality monitoring emerges as an important issue. In this paper, we propose a video quality assessment method using bit stream information. The video quality metric is calculated using header information and ES (elementary stream) information. To assess performance of the proposed algorithm, subjective quality assessment tests are conducted (VGA resolution). It is shown high correlation between subjective result and the proposed method.

• 전자공학회논문지 IE
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• v.45 no.1
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• pp.58-64
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• 2008

This Paper provides perceptual metrics for video quality based on properties of human visual system, and audio quality based on human audition. All metrics work without reference signals, allowing non-intrusive, in-service measurements. A simple and easy-to-learn user interface displays the metrics and saves them in popular file formats like CSV. In this paper, proposed method was able to various and corrective measurement for the multimedia service video quality. As that it was able to application to set up service guide line and the methode of measurement and system for the set up standardization of the high quality video service.

• Journal of Broadcast Engineering
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• v.22 no.3
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• pp.381-396
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• 2017

In this paper, the perceptual rate control algorithm is studied for HEVC (High Efficiency Video Coding) encoder with bit allocation based on perceived visual quality. This paper proposes perceptual rate control algorithm which could consider perceived quality for HEVC encoding method. The proposed rate control algorithm employs adaptive bit allocation for frame and CTU level using the perceived visual importance of each CTU. For performance evaluation of the proposed algorithm, the proposed algorithm was implemented on HM 16.9 and tested for sequences in Class B under the CTC (Common Test Condition) RA (Random Access) case. Experimental results show that the proposed method reduces the bitrate of 3.12%, and improves BD-PSNR of 0.08dB and bitrate accuracy of 0.07% on average. And also, we achieved MOS improvement of 0.16 with the proposed method, compared with the conventional method based on DSCQS (Double Stimulus Continuous Quality Scale).

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.81-88
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• 2004

In this paper, we propose a new objective quality assessment method considering the human visual perception characteristics. A subjective quality assessment is obtained by the response of the receptive field in the primary visual cortex and a human's eye can't focus on all of the visual range in a moment. Take advantage of two facts above, we apply Gabor wavelet transform which is well fit the receptive field in the cortex, to divided constant sized subblocks. Then a local distortion of the subblocks and a global distortion for the entire image are calculated in order. The proposed method has been evaluated using video test sequences provided by the Video Quality Experts Group (VQEG). The experimental results show that good correlation with human perception is obtained using the proposed metric, which is what we called GPSNR.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.3
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• pp.37-45
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• 2008

Quality assessment ai s to evaluate if a distorted image or video has a good quality by measuring the difference between the original and distorted images or videos. In this paper, to assess the visual qualify of a distorted image or video, visual features of the distorted image are compared with those of the original image instead of the direct comparison of the distorted image with the original image. We use edge projections from two images as features, where the edge projection can be easily obtained by projecting edge pixels in an edge map along vertical/horizontal direction. In this paper, edge projections are obtained by using vertical/horizontal directions of gradients as well as the magnitude of each gradient. Experimental results show the effectiveness of the proposed quality assessment through the comparison with conventional quality assessment algorithms such as structural similarity(SSIM), edge peak signal-to-noise ratio(EPSNR), and edge histogram descriptor(EHD) methods.

• 한국IT서비스학회:학술대회논문집
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• 2009.05a
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• pp.314-317
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• 2009

최근 와이브로와 3G를 기반으로 무선통신 서비스가 제공되면서 인터넷환경이 다양해지고 있다. 인터넷환경이 다양해지고 있지만, 통신서비스에 대한 품질관리는 주로 네트워크의 성능을 측정 관리하고, 동영상 화질을 관리하는 것이 일반적이다. 사용자의 만족도를 측정하고, 이를 통신서비스의 품질로 반영하기 위해서는 기존의 네트워크 성능이나 영상화질을 개별적으로 측정하는 방법에서 통신서비스에 영향을 미치는 여러 요소들을 하나로 통합하여 이를 측정하고 관리하는 모델이 필요하다. 본 논문에서는 통합적인 통신서비스의 품질을 측정하기 위해서 TA(Task Allocation)을 정의하고, Task를 통신서비스의 품질을 결정하는 하나의 단위로 하여 네트워크 컴퓨팅 컨텐츠 세가지 TASK에 대한 최적배치를 통신서비스에 대한 품질요소로 정의하고 관리하는 모형을 연구하여 제안한다.