• 방송공학회논문지
• /
• 제5권2호
• /
• pp.188-198
• /
• 2000

편집 과정에서의 언더플로우의 문제는 이미 이전에 페이드-인 시퀀스를 삽입하여 해결하는 방법이 연구된 것이 있으나, 이는 원하지 않는 영상신호를 임의로 삽입한다는 점이 문제였다. 본 연구에서는 압축영역에서 수행할 수 있는. 시퀀스의 압축율에 따른 적절한 재양자화를 통한 기법을 적용하여 이러한 페이드-인 시퀀스 삽입 방법에서와 같은 문제점 없이 언더플로우를 해결하였다. 제안된 방법은 본래의 움직임 예측 영상에 재양자화에 의한 에러를 보상하여 재양자화로 인하여 발생하는 GOP 전체로의 영상에러의 흐름에 의한 화질 열화를 방지하여 PSNR에서 약 0.5~1dB 화질이 향상되었음이 실험 결과 확인되었다.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2003년도 춘계학술대회 논문집
• /
• pp.1336-1340
• /
• 2003

The compressed fracture of spine caused by osteoporosis is one of the most frequent diseases in bone fracture. Recently the vertebroplasty has drawn much attention as a medical treatment for the compressed fracture of spine, which strengthens the vertebral body and corrects deformity, and relieves pain in patients by injecting bone cement. The purpose of this research is to provide the theoretical background for the vertebroplasty by employing scientific methods and thus to find out the improvements of the conventional surgical method. By applying the engineering analysis tools to clinical study, new application fields can also be obtained

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2003년도 춘계학술대회 논문집
• /
• pp.1324-1327
• /
• 2003

The compressed fracture of spine caused by osteoporosis is one of the most frequent diseases in bone fracture. Recently the vertebroplasty has drawn much attention as a medical treatment for the compressed fracture of spine, which strengthens the vertebral body and corrects deformity, and relieves pain in patients by injecting bone cement. The finite element analysis is used to investigate the vertebroplasty quantitatively. Previous works with finite element analysis have drawbacks in their simplified models geometry of vertebral body and with material properties of bone. In this paper the exact geometry of vertebral body has been constructed from medical image data and the biomechanical property changes of vertebral body in vertebroplasty have been investigate by using three dimensional finite element analysis.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권12호
• /
• pp.4533-4551
• /
• 2014

The effective extraction of key frames from a video stream is an essential task for summarizing and representing the content of a video. Accordingly, this paper proposes a new and fast method for extracting key frames from a compressed video. In the proposed approach, after the entire video sequence has been segmented into elementary content units, called shots, key frame extraction is performed by first assigning the number of key frames to each shot, and then distributing the key frames over the shot using a probabilistic approach to locate the optimal position of the key frames. Moreover, we implement our proposed framework in Android to confirm the validity, availability and usefulness. The main advantage of the proposed method is that no time-consuming computations are needed for distributing the key frames within the shots and the procedure for key frame extraction is completely automatic. Furthermore, the set of key frames is independent of any subjective thresholds or manually set parameters.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2001년도 추계학술대회 논문집
• /
• pp.127-133
• /
• 2001

Photoelastic isochromatic fringes related to the difference of principal stresses have some bandwidth whose light intensities are not constant and unsymmetrical in experimental image. Hence it is difficult to measure fringe order accurately at a data point by visual observation. In this study, the method of fringe sharpening, which can extract sharpened lines from both full-and half-order fringes by digital image processing, is developed. To test the method, various simple photoelastic fringe patterns are simulated and their image are processed to yield sharpened lines. The method is than applied to general problem such as image of a circular disk compressed by concentrated loads and a cylinder subjected to internal pressure. The procedure is proved to be capable of extracting sharpened lines accurately from photoelastic isochromatic fringes.

• 한국통신학회논문지
• /
• 제22권3호
• /
• pp.493-505
• /
• 1997

In this paper, a wavelet image compression method using human visually estimated quantizer is proposed. The quantizer has three components. These are constructed by using effects of frequency band, background luminance, and spatial masking. The first quantization factor is a fixed constant value for each band. The second factor is calculated by averaging four wavelet coefficients in the lowest frequency band. The third factor is determined by the difference between wavelet coefficients in the lowest frequency band. Arithmetic coding is used for encoding quantized wavelet coefficients. Coefficients in the lowest band are transmitted without loss. Therefore the compressed image is decompressed by using three quantization factors which can be calculated in the receiver. Compared with previous image compression methods which adopted human visual system, the proposed method shows improved results with less computational cost.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2009년도 춘계학술발표대회
• /
• pp.134-137
• /
• 2009

최근 마이크로소프트 (Microsoft)에서 발표된 후 주목 받고 있는 JPEG XR 은 압축 효율 면에서 뛰어난 장점을 가지고 있다. 일반적으로 JPEG XR 은 기존의 JPEG 과는 다른 압축 과정과 주파수 성분 분포를 가지고 있다고 알려져 있다. 하지만 JPEG 압축 방식과 비교하여 JPEG XR 의 압축영역에서의 영상 필터 처리의 연구는 아직 미흡한 실정이다. 본 논문에서는 JPEG XR 의 압축과정과 주파수 성분 분포의 분석을 기반으로 효율적인 저역/고역통과 필터 함수를 제안하고, 체계적인 실험을 통해 제안한 필터함수의 효율성을 입증하였다.

• 한국전자통신학회논문지
• /
• 제9권12호
• /
• pp.1381-1388
• /
• 2014

본 논문에서는 지형의 형태 파악에 주로 이용되는 SAR(Synthetic Aperture Radar) 영상의 화질을 저해하는 주된 요소인 잡음을 제거하기 위하여 웨이블렛 변환 기반 MAD순서통계량 알고리즘을 논의한다. 효과적인 영상개선을 위하여 SAR 영상에 근사부분대역의 웨이블렛 계수에 가중평균(Weighted average)법으로 영상처리하고 상세 부분대역의 웨이블렛 계수에 중앙절대편차(MAD : Median Absolute Deviation)를 이용한 임계값을 설정하여 왜곡요소를 제거하는 방법을 제안한다. 특히 제안 방법의 임계값은 잡음과 같은 왜곡요소를 배재하고 영상의 통계량을 고려하여 설정하였다. 제안된 방법은 실시간처리를 보장하기 위하여 DSP와 FPGA를 이용한 하드웨어로 구현하였으며 Xilinx FPGA를 사용하여 실험 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권12호
• /
• pp.5170-5188
• /
• 2015

This paper proposes a novel progressive secret image-hiding scheme based on the inpainting technique, the vector quantization technique (VQ) and the exploiting modification direction (EMD) technique. The proposed scheme first divides the secret image into non-overlapping blocks and categorizes the blocks into two groups: complex and smooth. The blocks in the complex group are compressed by VQ with PCA sorted codebook to obtain the VQ index table. Instead of embedding the original secret image, the proposed method progressively embeds the VQ index table into the cover images by using the EMD technique. After the receiver recovers the complex parts of the secret image by decoding the VQ index table from the shadow images, the smooth parts can be reconstructed by using the inpainting technique based on the content of the complex parts. The experimental results demonstrate that the proposed scheme not only has the advantage of progressive data hiding, which involves more shadow images joining to recover the secret image so as to produce a higher quality steganography image, but also can achieve high hiding capacity with acceptable recovered image quality.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2013년도 추계학술대회
• /
• pp.165-168
• /
• 2013

Image distortions, such as quantization errors, can have a severe negative impact on the performance of computer vision algorithms, and, more specifically, on object detection algorithms. State-of-the-art implementations of the JPEG-2000 image coder commonly allocate the available bits to minimize the Mean-Squared-Error (MSE) distortion between the original image and the resulting compressed image. However, considering that some state-of-the-art object detection methods use the gradient information as the main image feature, an improved object detection performance is expected for JPEG-2000 image coders that allocate the available bits to minimize the distortions on the gradient content. Accordingly, in this work, the Gradient Mean-Squared-Error (GMSE) based JPEG-2000 coder presents an improved object detection performance over the MSE based JPEG-2000 image coder when the object of interest is located at the same spatial location of the image regions with the strongest gradients and also for high bit-rates. For low bit-rates (e.g. 0.07bpp), the GMSE based JPEG-2000 image coder becomes overly selective in choosing the gradients to preserve, and, as a result, there is a greater chance of mismatch between the spatial locations of the gradients that the coder is trying to preserve and the spatial locations of the objects of interest.