• IEIE Transactions on Smart Processing and Computing
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• 제6권4호
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• pp.276-280
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• 2017

This paper presents computationally efficient image compression for wireless transmission of high-definition video, to adaptively utilize available channel bandwidth and improve image quality. The method indirectly predicts an unknown available channel bandwidth by monitoring encoder buffer status, and adaptively controls a quantization parameter to fully utilize the bandwidth. Experimental results show that the proposed method is robust to variations in channel bandwidth.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권1호
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• pp.426-445
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• 2012

Conventional rate control (RC) schemes for H.264 video coding usually regulate output bit rate to match channel bandwidth by adjusting quantization parameter (QP) at fixed full frame rate, and the passive frame skipping to avoid buffer overflow usually occurs when scene changes or high motions exist in video sequences especially at low bit rate, which degrades spatial-temporal quality and causes jerky effect. In this paper, an active content adaptive frame skipping scheme is proposed instead of passive methods, which skips subjectively trivial frames by structural similarity (SSIM) measurement between the original frame and the interpolated frame via motion vector (MV) copy scheme. The saved bits from skipped frames are allocated to coded key ones to enhance their spatial quality, and the skipped frames are well recovered based on MV copy scheme from adjacent key ones at the decoder side to maintain constant frame rate. Experimental results show that the proposed active SSIM-based frameskip scheme acquires better and more consistent spatial-temporal quality both in objective (PSNR) and subjective (SSIM) sense with low complexity compared to classic fixed frame rate control method JVT-G012 and prior objective metric based frameskip method.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1313-1316
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• 1993

This paper presents a fuzzy system that estimates the optimal bit allocation matrices for the spatially active subimage classes of adaptive transform image coding in noisy channels. Transform image coding is good for image data compression but it requires a transmission error protection scheme to maintain the performance since the channel noise degrades its performance. The fuzzy system provides a simple way of estimating the bit allocation matrices from the optimal bit map computed by the method of minimizing the mean square error between the transform coefficients of the original and the reconstructed images.

• 방송공학회논문지
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• 제14권2호
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• pp.144-153
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• 2009

최근, 사용자 제작 콘텐츠(UCC: User Created Contents) 또는 다시점 비디오(Multiview Video) 등의 응용을 위한 경량화 부호화 기술의 필요성이 대두됨에 따라 비디오 부호화 복잡도의 대부분을 차지하는 움직임 예측/보상 과정을 부호화기가 아닌 복호화기 측에서 수행하는 분산 비디오 부호화 기술(Distributed Video Coding)에 대한 연구가 활발히 이루어지고 있다. Wyner-Ziv 부호화 기술은 채널 코딩을 이용하여 원본 영상에 대한 복호화기 측의 예측영상인 보조정보에 포함된 잡음을 제거함으로써 영상을 복원하는 구조를 가진다. 일반적인 Wyner-Ziv 부호화 기술은 키 프레임 간의 움직임 예측/보상 과정에 기반한 프레임 보간법을 통해 보조정보를 생성하며, Shannon limit에 근접한 성능을 보이는 Turbo 코드나 LDPC 코드를 통해 잡음을 제거한다. Wyner-Ziv 부호화 기술은 채널 코드의 복호화를 위해 보조정보에 포함된 잡음의 정도를 예측하는데, 이를 '가상 채널 잡음(Virtual Channel Noise)'이라 하며 일반적으로 Laplacian이나 Gaussian으로 모델화 한다. 본 논문은 변환영역에서의 주파수 단위에 적응적인 채널 잡음 모델링에 기반한 Wyner-Ziv 부호화 방법을 제안한다. 다양한 영상에 대한 제안 방법의 실험 결과는 기존 방법과 비교하여 최대 약 0.52dB에 해당하는 율-왜곡 성능의 향상을 보여준다.

• 방송공학회논문지
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• 제7권2호
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• pp.192-201
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• 2002

This paper develops a novel robust information hiding technique that uses channel codes derived from the error-correcting coder. The message encoded by the cover encoder is hidden in DCT transform domain of the cover image. The method exploits the sensitivity of human eyes to adaptively embed a visually recognizable message in an image without affecting the perceptual quality of the underlying cover image. Experimental results show that the proposed data hiding technique is robust to cropping operations, lossy JPEG compression, noise interference and secure against known stego attacks. The performance of the proposed scheme with turbo coder is superior to that without turbo coder.