The development of super high definition image storage system

Murakami, Tomonori; Ohira, Hideo; Tanno, Okikazu; Suzuki, Ryuta; Wada, Masaaki; Saito, Takahiro; Ogura, Kohji; Asai, Kohtaro

doi:10.1109/icassp.1992.226157

Cited by 1 publication

(2 citation statements)

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“…Recently, SHD imaging has been studied as the next generation media beyond HDTV [1]. The spatial resolution of the SHD image, which is equivalent or superior to the 35mm photography film or full color A4 sized manuscript, is more than 2,048 by 2,048 pixels.…”

Section: Introductionmentioning

confidence: 99%

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<title>Vector quantization of wavelet coefficients for super-high-definition image</title>

et al. 1993

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In this paper, we describe a new coding scheme for super high definition(SHD) images using vector quantization of wavelet coefficients. This coding scheme includes hierarchical blocking and adaptive coding techniques to optimize the coding efficiency. The SHD image is decomposed into multi-resolution layers with the biorthogonal wavelet filter. The general ideas of the adaptive coding are to remove the redundancy of correlation between different layers and to attempt the minimization of perceptional error through athptive bit allocation. To achieve the high compression ratio, wavelet coefficients except for the low frequency bands are coded by using vector quantization. The binary tree codebooks are created for each resolution layer. The depth of the tree search is also adaptively controlled according to the magnitude of the input vector. To evaluate the picture quality, objective and subjective tests are performed on the reconstructed SHD images. The results of our method give better SNR and picture quality compared with the JPEG baseline coding.

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Section: Introductionmentioning

confidence: 99%

“…The number of bits for one 2K by 2K SHD color image amounts to 12M bytes. We have already developed the SHD image handling system, which is described in [1].…”

Section: Introductionmentioning

confidence: 99%