• Journal of the Institute of Convergence Signal Processing
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• v.11 no.2
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• pp.92-96
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• 2010

Deinterlacing methods are usually divided into inter-field deinterlacing and intra-field deinterlacing. The most common method of intra-field deinterlacing is the linear method which uses line doubling or line averaging. There are also some edge-enhancement methods such as ELA(Edge Based Line Average) and modified ELA. However, the linear interpolation generates edge blurring or staircase artifacts. The methods using ELA or modified ELA show poor deinterlacing at various types of edges because of insufficient edge information in a certain direction. This paper presents an intra-field deinterlacing algorithm that considers the interpolation based on edges in 7 directions and an edge line in the horizontal direction. It demonstrates better picture quality by reducing the staircase phenomenon of object in the conventional methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.424-425
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• 2010

본 논문에서는 영상의 종류에 따른 움직임 정보를 통계 값을 계산 하여 분산 및 평균값을 계산하여 적용하는 움직임 적응형 디인터레이싱 기법을 제안한다. 제안하는 알고리즘은 움직임 검출, 영상의 따른 분산 및 평균값 계산, 영상의 유형에 따른 상한, 하한 값 결정을 하여 시간적, 공간적 디인터레이싱을 선택적으로 하여 보간 하게 된다. 또한 Modified DOI 방식을 제안하여 복잡도가 높은 영상과 수직성분에서 개선이 된 M-ELA 를 사용하고, 수평 성분에서는 우수한 성능을 가진 DOI 방식을 개선한 Modified DOI 방식을 사용하여 DOI 계열의 복잡한 연산을 개선한 공간적 디인터레이싱 방법을 적용하였다. 다양한 영상에 대한 실험을 통하여 제안한 방식이 기존의 디인터레이싱 방법에 비해 좋은 성능을 보임을 확인하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.1000-1009
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• 2007

This paper presents a content adaptive interpolation (CAI) for intra deinterlacing. The CAI consists of three steps: pre-processing, content classification, and adaptive interpolation. There are also three main interpolation methods in our proposed CAI, i.e. modified edge-based line averaging (M-ELA), gradient directed interpolation (GDI), and window matching method (WMM). Each proposed method shows different performances according to spatial local features. Therefore, we analyze the local region feature using the gradient detection and classify each missing pixel into four categories. And then, based on the classification result, a different do-interlacing algorithm is activated in order to obtain the best performance. Experimental results demonstrate that the CAI method performs better than previous techniques.

• Women's Health Nursing
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• v.24 no.1
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• pp.49-57
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• 2018

Purpose: Postpartum fatigue can impact maternal well-being and has been associated with levels of perceived self-care. This study aimed to examine the relationship among fatigue, depressive mood, self-care agency, and self-care action among postpartum women in Bangladesh. Methods: A descriptive cross sectional survey was done with 124 first-time mothers from two tertiary hospitals in Dhaka, Bangladesh. The Modified Fatigue Symptoms checklist, Denyes' Self Care Instrument, the Edinburgh Postnatal Depression Scale, and items on sociodemographic and delivery-related characteristics, were used in Bengali via translation and back-translation process. Results: High fatigue levels were found in 18.5% (n=23) and 73.4% had possible depression (n=91). There was a significant negative relationship between fatigue and self-care agency (r=-.31, p<.001), and self-care action (r=-.21, p<.05). Fatigue differed by level of self-care agency (t=4.06, p<.001), self-care action (t=2.36, p=.023), newborn's APGAR score (t=-2.93, p=.004), parental preparation class participation (F=15.53, p<.001), and postpartum depressive mood (t=-4.64, p<.001). Conclusion: Findings suggest that high level of self-care efficacy and behaviors can contribute to fatigue management, and highlight the need for practical interventions to better prepare mothers for postpartum self-care, which may, in turn, alleviate postpartum fatigue.