Lossy coding technique for digital holographic signal

Seo, Young-Ho; Choi, Hyun-Jun; Kim, Dong-Wook

doi:10.1117/1.2215387

Cited by 15 publications

(16 citation statements)

References 11 publications

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“…Scalable coding schemes need to use the characteristics of pixels, localized regions, and frequency-domain data of a digital hologram. These have been analyzed already in previous research [14,15] and are summarized here.…”

Section: Some Characteristics Of a Digital Hologrammentioning

confidence: 97%

“…The data compression itself is beyond the scope of this paper. Refer to [14][15][16][17] for the omitted details.…”

Section: Encodingmentioning

confidence: 99%

“…In [14,15], a digital hologram is segmented into several subholograms and transformed to increase the correlation among pixels. Then a 2D compression technique such as H.264 is applied to the transformed subhologram sequence.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Some Characteristics Of a Digital Hologrammentioning

confidence: 97%

“…The data compression itself is beyond the scope of this paper. Refer to [14][15][16][17] for the omitted details.…”

Section: Encodingmentioning

confidence: 99%

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Scalable hologram video coding for adaptive transmitting service

et al. 2012

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“…DH를 분할하고 각 부분DH를 상관성 이 높은 정보로 DCT 또는 이산웨이블릿변환(discrete wavelet transform, DWT)한 후 변환된 부분DH를 시퀀스(sequence)로 만들어 MPEG2 또는 MPEG4 H.264/AVC의 손 실압축과 ZIP 등의 무손실압축을 혼용한 압축방식 [12] 을 제 안하였으며, DH 비디오를 대상으로 DCT 또는 DWT된 부 분DH를 압축효율이 최적이 되도록 시퀀싱하는 방법 [13] 을 제안하기도 하였다. 또한 DCT 변환된 부분DH 영상을 집 적영상(integrated image)으로 만들어 그 결과를 MPEG2로 압축하는 방법 [14] 을 제안하기도 하였다.…”

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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“…The compression effects of the image compression methods have been studied mainly on the intensity of the reconstructed holograms [6][7][8][9]. In this paper we focus on the compression effects on the reconstructed phase where most of the DH applications rely on.…”

Section: Introductionmentioning

confidence: 99%

Phase measurement errors due to holographic interferograms compression

et al. 2007

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Digital holographic interferometry allows accurate measurements on a microscopic level. As the number and size of the recorded digital holograms increase so does their data volume. As a result the volume of holographic data can substantially constrain applications where storage or transmittance of such data is required. Compression of holographic data in order to reduce their storage requirements has been studied. The speckled nature of the interferograms makes their compression nontrivial; however image compression algorithms such as JPEG, JPEG2000 and Set Partitioning In Hierarchical Trees (SPIHT) have been shown to perform adequately. So far the compression effects of the holographic interferograms using such coding methods have mainly been studied in terms of errors at the reconstruction intensity. On the other hand, metrology applications usually rely on the holograms' reconstructed phase. In this paper we investigate hologram compression and how it affects the reconstructed phase. Holographic interferometry experiments are carried out to investigate measurement error due to interferograms compression using image compression methods.The results indicate that compression can be achieved while the measurement error due to compression is retained low.

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Lossy coding technique for digital holographic signal

Cited by 15 publications

References 11 publications

Scalable hologram video coding for adaptive transmitting service

Scalable hologram video coding for adaptive transmitting service

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

Phase measurement errors due to holographic interferograms compression

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