• ETRI Journal
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• 제32권2호
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• pp.336-338
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• 2010

A macroblock-level deblocking method is proposed for H.264/AVC, in which blocking artifacts are effectively eliminated in the discrete cosine transform domain at the macroblock encoding stage. Experimental results show that the proposed algorithm outperforms conventional H.264 in terms of coding efficiency, and the bitrate saving is up to 5.7% without reconstruction quality loss.

• 대한전자공학회논문지SP
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• 제48권5호
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• pp.84-95
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• 2011

본 논문에서는 위성영상을 압축하는 과정에서 발생하는 압축잡음을 내용 분석을 통해 적응적으로 제거하는 디블록킹 알고리즘을 제안 한다. 특히, 제공된 KOMPSAT(korean multi-purpose satellite)-2는 열 단위로 동일한 양자화 계수를 적용하며 고주파 성분이 많은 부분을 압축하여 효율 및 시간을 향상 시켰으나 압축률이 높은 동일 열 내에 복잡도가 낮은 부분에서 압축 잡음이 나타나는 문제점이 있다. 이러한 압축잡음을 제거하기 위해 일반적인 디블록킹 필터를 적용 시 복잡한 영역을 평활화시키는 문제점이 있다. 따라서 제안한 방법에서는 영상 분석 후 적응적 디블록킹 필터를 통해 에지를 보존하면서 격자잡음을 제거 한다. 이와 동시에 WLFPCA(weighted lowpass filter using principle component analysis)를 이용하여 큰 곡선형 경계부분의 계단잡음을 제거 하였다. 제안한 방법은 성능을 평가하기 위한 모의실험 결과로부터 기존의 방법에 비하여 객관적 화질 지표인 PSNR(peak signal to noise ratio)과 주관적 화질 지표인 MSSIM(mean structural similarity)에서 비슷하거나 향상된 결과를 보였으며 특히, 기존의 압축잡음 제거 알고리즘은 반복적 프로세싱을 통해 계단잡음을 제거하나 제안한 방법은 싱글패스(single-path) 방식으로 시간을 크게 단축시켜 실시간에 가까운 처리가 가능하도록 하였으며, 계산양을 줄여 하드웨어의 적용이 용이하게 하였다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(A)
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• pp.242-243
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• 2010

Reducing compression artifacts such as ringing and blocking is one of important issues to improve a visual quality of a JPEG compressed image. In this paper, we propose a new post processing technique based on bilateral filtering (BF), which is one of the techniques that are used to reduce compression artifacts. An important issue with the application of the BF is the selection of the filter parameters, which affects the result significantly. In this work, we suggest a new method to select the filter parameter automatically. In addition to artifact reduction using the BF, a contrast enhancement is performed to overcome the contrast loss problem due to compression. The experimental result shows that the proposed approach can alleviate the artifacts efficiently.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.29-38
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• 2022

Although image compression is one of the essential technologies to transmit image data on a variety of surveillance and mobile healthcare applications, it causes unnecessary compression artifacts such as blocking and ringing artifacts by the lossy compression in the limited network bandwidth. Recently, image restoration methods using convolutional neural network (CNN) show the significant improvement of image quality from the compressed images. In this paper, we propose Image Denoising Convolutional Neural Networks (IDCNN) to reduce the compression artifacts for the purpose of improving the performance of object classification. In order to evaluate the classification accuracy, we used the ImageNet test dataset consisting of 50,000 natural images and measured the classification performance in terms of Top-1 and Top-5 accuracy. Experimental results show that the proposed IDCNN can improve Top-1 and Top-5 accuracy as high as 2.46% and 2.42%, respectively.

• 한국정보처리학회논문지
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• 제4권4호
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• pp.1121-1131
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• 1997

높은 앞축율을 가지는 동영상 압축 방법에 있어, 공간영역에서의 프랙탈을 이용한 동영상 앞축 방법은 복원영상의 블록화 현상이 두드러지는 단점이 있고, 웨이브릿 / 변환 영역에서의 동영상 압축 방법은 에지의 열화가 생기는 단점이 있다. 그러므로 본 논문에서는 이러한 단점을 보완하기 위해 높은 압축률에서도 에지가 선명하고 블록화 현상이 없는 웨이브릿 변환 영역에서의 프랙탈을 이용한 동영상 압축 방법을 제안한다 제안한 방법에서는 서로 다른 부대역간의 상관성을 이용하여 가변 블록 크기의 움 직임을 추정하고, 움직임 추청에 의하여 효과적으로 부호화되지 않는 웨이브릿 계수들은 저해상도 부대역에서 고해상도 부대역을 계층적으로 추정하는 프레임간 프랙탈 부호화 한다. 실험을 통하여 제안한 방법이 기존의 프랙탈과 웨이브릿을 이용한 동영상 부호와 방법도 더 좋은 성능을 나타냄을 보였다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 학술대회
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• pp.223-227
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• 1996

In this paper we propose an adaptive fast image restoration filter, which is suitable for reducing the blocking artifacts in the compressed image in real-time. The proposed restoration filter is based on the observation that quantization operation in a series of coding process is a nonlinear and many-to-one mapping operator. And then we propose an approximated version of constrained optimization technique as a restoration process for removing the nonlinear and space varying degradation operator. We also propose a novel block classification method for adaptively choosing the direction of a highpass filter, which serves as a constraint in the optimization process. The proposed classification method adopts the bias-corrected maximized likelihood, which is used to determine the number of regions in the image for the unsupervised segmentation. The proposed restoration filter can be realized either in the discrete Fourier transform domain or in the spatial domain in the form of a truncated finite impulse response (FIR) filter structure for real-time processing. In order to demonstrate the validity of the proposed restoration filter experimental results will be shown.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.178-180
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• 2004

In this work, we propose new method of sigma filtering for efficient filtering and preserving edge regions in DCT Domain. In block-based image compression technique, the image is first divided into non-overlapping $8{\times}8$ blocks. Then, the two-dimensional DCT is computed for each $8{\times}8$ block. Once the DCT coefficients are obtained, they are quantized using a specific quantization table. Quantization of the DCT coefficients is a lossy process, and in this step, noise is added. In this work, we combine IDCT matrix and filter matrix to a new matrix to simplify filtering process to remove noise after IDCT in spatial domain, for each $8{\times}8$ DCT coefficient block, we determine whether this block is edge or homogeneous region. If this block is edge region, we divide this $8{\times}8$ block into four $4{\times}4$ sub-blocks, and do filtering process for sub-blocks which is homogeneous region. By this process, we can remove blocking artifacts efficiently preserving edge regions at the same time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권9호
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• pp.4467-4486
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• 2016

Discrete cosine transform (DCT) based JPEG standard significantly improves the coding efficiency of image compression, but it is unacceptable event in serious blocking artifacts at low bit rate and low efficiency of high-definition image. In the light of all phase digital filtering theory, this paper proposes a novel transform based on discrete sine transform (DST), which is called all phase discrete sine biorthogonal transform (APDSBT). Applying APDSBT to JPEG scheme, the blocking artifacts are reduced significantly. The reconstructed image of APDSBT-JPEG is better than that of DCT-JPEG in terms of objective quality and subjective effect. For improving the efficiency of JPEG coding, the structure of JPEG is analyzed. We analyze key factors in design and evaluation of JPEG compression on the massive parallel graphics processing units (GPUs) using the compute unified device architecture (CUDA) programming model. Experimental results show that the maximum speedup ratio of parallel algorithm of APDSBT-JPEG can reach more than 100 times with a very low version GPU. Some new parallel strategies are illustrated in this paper for improving the performance of parallel algorithm. With the optimal strategy, the efficiency can be improved over 10%.

• 대한전자공학회논문지SP
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• 제43권3호
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• pp.1-8
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• 2006

본 논문에서는 복원된 영상에서 블록현상을 제거하기 위해 POCS 이론을 기반으로 효율적인 후처리 기법을 제안한다. 블록 현상을 나타내는 불필요한 고주파성분을 제거하기 위해 웨이브렛 변환으로 효과적인 SCS 및 그 투영자를 제안한다. 또한 원 영상에서 에지로 나타나는 고주파성분은 찾아서 유지하는 방법도 제안한다. 실험결과로 제안하는 방법은 향상된 주관적 화질뿐만 아니라, 복원된 출력 영상에서의 PSNR이 향상됨을 알 수 있다.

• 반도체디스플레이기술학회지
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• 제8권3호
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• pp.45-50
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• 2009

Recently, block-based transforms, like discrete cosine transform (DCT), have been widely used in image and video coding standards, but block-based transforms have a weak point with blocking effect. However, the integer lapped orthogonal transform (ILOT) is a tool for block-based coding with bases functions that overlap near blocks, so it has a strong point against blocking effect. Although it has slightly higher arithmetic complexity than the DCT, the coding gain is significantly higher with much less blocking artifacts. This paper introduces the integer lapped orthogonal transforms and discrete cosine transform. And we compare the performance of DCT with ILOT which is proposed a new efficient method for image coding applications.