Compression of digital hologram for three-dimensional object using Wavelet-Bandelets transform

Bang, Le Thanh; Ali, Zulfiqar; Pham, Quang Duc; Park, Jae‐Hyeung; Kim, Nam

doi:10.1364/oe.19.008019

Cited by 50 publications

(30 citation statements)

References 14 publications

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“…Wavelet analysis was employed in [25] for the compression of complex-valued digital holograms of three-dimensional real-world objects, where the thresholding and quantization of the wavelet coefficients was invoked, followed by the lossless encoding of the quantized data. In [26], the Wavelet-Bandelets transform was employed for hologram compression. The widely known scalable video coding method of [27] was employed in [28] for compressing holographic video.…”

Section: B Compression and Transmissionmentioning

confidence: 99%

Wireless Holographic Image Communications Relying on Unequal Error Protected Bitplanes

Huo

Kovács

Naughton

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Holography is considered to be one of the most promising techniques of goggle-free visualization of the nearfuture. We consider wireless transmission of digital holograms, which are partitioned into multiple bitplanes that are then independently encoded by a forward error correction (FEC) code for transmission over wireless channels. The coding rates of these bitplanes will be optimized at the transmitter for the sake of achieving an improved holographic peak signal-to-noise ratio (PSNR) at the receiver. Our simulation results show that up to 2.6 dB of E b /N0 or 12.5 dB of PSNR improvements may be achieved, when employing a recursive systematic convolutional (RSC) code.

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Section: B Compression and Transmissionmentioning

confidence: 99%

Wireless Holographic Image Communications Relying on Unequal Error Protected Bitplanes

Huo

Kovács

Naughton

et al. 2017

IEEE Trans. Veh. Technol.

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“…또한 DCT 변환된 부분DH 영상을 집 적영상(integrated image)으로 만들어 그 결과를 MPEG2로 압축하는 방법 [14] 을 제안하기도 하였다. DH를 부분DH로 분할한 후 그 결과를 DCT 변환하고, 그 결과를 1차원으로 시퀀스를 만들어 motion-compensated temporal filtering (MCTF) 방법으로 압축하는 방법 [15] , Mallat-tree 기반의 DWT와 Bandelet 변환을 사용하여 프린지 패턴의 방향성 에 따라 압축을 수행한 방법 [16] 이 제안되었다. Liebling 등 은 DH를 프레넬 변환(Fresnel transform, FT)과 웨이블릿 (wavelet) 변환을 결합하여 다해상도 영상으로 분해하는 프 레넬릿(Fresenelet) 변환(FLT)방법을 제안 [17] 하였는데, [18] 그림 2는 그림 1의 DH를 FT한 결과를 실수, 허수, 크기, 이미 이전 발표에서 사용한 바 있다 [7,8,12~15] .…”

Section: 지금까지의 홀로그램 또는unclassified

A Study on the Compression Efficiency of a Digital Hologram Video using Domain Transforms and H.265/HEVC

Jang¹,

Seo²,

Kim³

2016

Journal of Broadcast Engineering

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Recently, many researches on digital holograms, which retain almost perfect 3 dimensional image information, have been performed actively that it seems for them to be serviced soon. Accordingly, this paper proposes a data compression technique for a digital hologram video for this service. It uses H.265/HEVC, the most recent international 2 dimensional video compression standard, for which we consider various domain transform methods to increase the correlation among the pixels in a digital hologram. Also we consider the various parameters on H.265/HEVC. The purpose of this paper is to find empirically the optimal condition for the domain transform method, the size of transform unit, and the H.265/HEVC parameters. The proposed method satisfying the optimal parameter set found is compared to the existing methods to prove that ours shows better performance.

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“…A method using motioncompensated temporal filtering (MCTF) to increase the compression ratio has been proposed [17]. Also, [18] used a 2D Mallat-tree wavelet transform to compress the resulting subbands. This paper proposes a SVC method for digital hologram video (SHVC) which can reconstruct images in various environments at the receiver.…”

Section: Introductionmentioning

confidence: 99%

Scalable hologram video coding for adaptive transmitting service

et al. 2012

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This paper discusses processing techniques for an adaptive digital holographic video service in various reconstruction environments, and proposes two new scalable coding schemes. The proposed schemes are constructed according to the hologram generation or acquisition schemes: hologram-based resolution-scalable coding (HRS) and light source-based signal-to-noise ratio scalable coding (LSS). HRS is applied for holograms that are already acquired or generated, while LSS is applied to the light sources before generating digital holograms. In the LSS scheme, the light source information is lossless coded because it is too important to lose, while the HRS scheme adopts a lossy coding method. In an experiment, we provide eight stages of an HRS scheme whose data compression ratios range from 1:1 to 100:1 for each layered data. For LSS, four layers and 16 layers of scalable coding schemes are provided. We experimentally show that the proposed techniques make it possible to service a digital hologram video adaptively to the various displays with different resolutions, computation capabilities of the receiver side, or bandwidths of the network.

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Compression of digital hologram for three-dimensional object using Wavelet-Bandelets transform

Cited by 50 publications

References 14 publications

Wireless Holographic Image Communications Relying on Unequal Error Protected Bitplanes

Wireless Holographic Image Communications Relying on Unequal Error Protected Bitplanes

A Study on the Compression Efficiency of a Digital Hologram Video using Domain Transforms and H.265/HEVC

Scalable hologram video coding for adaptive transmitting service

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