• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.623-627
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• 2009

Recently, we have many kinds of picture format and display, and resizing (scaling) of picture becomes important. In this processing, quality of picture depends on re-sizing method. For this, some methods to improve the PSNR have been proposed. However, subjective picture quality is more important. Especially, degradation caused by re-sizing, such as jaggy (aliasing) and ringing, should be reduced. To solve them, we have proposed the method using directional adaptive interpolation. To improve the performance of this method, we consider the shape analysis this time. In the proposed method, directional adaptive processing is applied for pure edge only. In the texture area and flat area, 8 tap re-sampling filter is used. As the results of processing, the reductions of jaggy and incorrect interpolated pixels are recognized. The subjective picture quality of proposed method is significantly better than 8-tap re-sampling which gives good PSNR.

• 대한전자공학회논문지
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• 제25권1호
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• pp.81-87
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• 1988

This paper proposes a new EBTC(extended block truncation coding) algorithm extended from the BTC for image compression. The EBTC has a capability to eliminate the defects of BTC, such as the deterioration of resolution or blocky effect,and to make a real-time processing like BTC. It shows better performances than the DPCM and the transform coding. Especially, it is a suitable coding method for the high quality picture transmission. It may be adequate to the system of transmission rate of 30-50 Mbits/sec. The picture quality has been scarecely degraded with a vector quantization to the EBTC output at the bit rate of 1.25 bits/pel. The bit rate of the scalar quantized EBTC method is 2.6-3.7 bits/pel.

• 한국멀티미디어학회논문지
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• 제13권8호
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• pp.1154-1162
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• 2010

스칼라 양자화기는 구현이 간단하기 때문에 각종 영상부호화기법에서 많이 사용되고 있다. 스칼라 양자화기는 큰 양자화 계단크기를 사용하여 데이터양을 많이 줄일 수 있으나, 반대로 복원된 영상화질이 많이 나빠지는 단점이 있다. 본 논문에서는 양자화 계단크기를 그대로 유지하면서 양자화 복원 레벨 개수를 증대시킴으로 인해 부호화 성능이 개선될 수 있는 방법을 제안한다. 동시에 양자화 복원 레벨 개수가 증대됨에 따라 복원 레벨 영역에 해당되는 심볼 정보를 추가적으로 전송해 주어야 하는 문제점이 발생하며, 이를 해결하기 위하여 부가 심볼 정보를 감소시키는 방법도 제안한다. H.264 동영상 부호화에서 화면내 부호화 화면에는 4${\times}$4(수평방향 4화소, 수직방향 4화소) 블록단위로 복원 영역의 심볼 정보에 허프만 부호화를 적용하고, 화면간 부호화 화면에는 매크로블록내의 8${\times}$8블록과 4${\times}$4블록에 대해 복원 영역의 심볼 정보를 허프만 부호화한다. 이를 통하여 양자화 복원 레벨 개수 증대로 발생되는 부가정보를 줄임으로써 같은 부호화율에서 부호화성능이 개선됨을 보인다.

• 대한인간공학회지
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• 제17권1호
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• pp.67-77
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• 1998

The objective of this study is to extract information from electroencephalogram(EEG) signals with which we can discriminate mental states. Seven university students were participated in this study. Ten stimuli based on IAPS (International Affective Picture Systems) Were presented at random according to the experimental schedule. 8-channel ($O_1$, $O_2$, $F_3$, $F_4$, $F_7$, $F_8$, $FP_1$, and $FP_2$)EEG signals were recorded at a sampling rate of 204.8 Hz for visual stimuli and analyzed. After random ten sequential stimuli presentation, the subject subjectively assessed the stimulus by scaling from -5 to 5. If the stimulus was the best and the worst, it was scored 5 and -5, respectively. Only maximum and minimum scored-EEG signals within each subject were selected on the basis of subjectively assessment for analysis. EEG signals were transformed into feature objects based on scalar autoregressive model coefficients. They were classified with Discriminant Analysis for each channel. The features produced results with the best classification accuracy of 85.7 % in $O_1$ and $O_2$ for visual stimuli. This study could be extended to establish an algorithm which quantify and classify emotions evoked by visual stimulus using autoregressive models.