&lt;title&gt;Super high-definition still/motion images digitizing system and standard test images&lt;/title&gt;

Furukawa, Isao; Kashiwabuchi, Kazunobu; Ono, S.

doi:10.1117/12.131427

Cited by 4 publications

(4 citation statements)

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“…This section introduces an experimental DSP system for SHD image processing which includes a new engine for the NOVI-Il system, called HiPIPE (Highly Parallel Image Processing Engine) and an SHD moving image storage/display system. Many standard SHD still images, whose resolution is more than 2048 x 2048, had already been captured [7]. The SHD moving images are now being captured on a frame-by-frame basis using 70 mm films.…”

Section: Signal Processing Systemmentioning

confidence: 98%

“…3 shows the relationship between compression ratio and signal-to-noise ratio of the compressed image. The original image (called PA022 [7]) is shown in Fig. 4 (a), and compressed image by baseline sequential process with compression ratio of 1/53.0 is shown in Fig.…”

Section: Signal Processing Systemmentioning

confidence: 99%

“…2. shows the SNR examples for various SHD images and their estimated Gflops requirements. The images used were selected from the standard images distributed among researchers as mentioned in [7].…”

Section: Signal Processing Systemmentioning

confidence: 99%

“…We have already proposed the concept of an all-digital super high definition (SHD) image as a platform with which to achieve media integration of images such as text, photograph, TV, and HDTV signalsE1 3]• Many researchers are starting work on this topic to support media integration based on SHD images [4][5][6][7][8]. SHD images must provide image definition and quality of such a level as to subsume print, photo, and other existing non-digital media.…”

Section: Introductionmentioning

confidence: 99%

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<title>Media integration platform on superhigh-definition images: parallel digital signal processor approach</title>

1993

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This paper presents a new media integration platform based on super high definition (SHD) digital images and a high performance image processing system that adopts parallel digital processing.. The new platform will encourage the integration of all existing media to realize rich and realistic visual communication over B-ISDN. SHD images have a resolution of more than 2048 x 2048 pixels and the frame rate is more than 60 frames /sec. To achieve the real-time compression of SHD moving images, parallel signal processing systems with a peak performance of 0.5 Tera Flops will be necessary. The specification requirements, focusing on the digital signal processing systems needed to achieve SHD image communication, are discussed.

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Section: Signal Processing Systemmentioning

confidence: 98%

Section: Signal Processing Systemmentioning

confidence: 99%

Section: Signal Processing Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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<title>Media integration platform on superhigh-definition images: parallel digital signal processor approach</title>

1993

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Nearly lossless compression of color still images and its performance evaluation

Okumura

Suzuki

1996

Electron. Comm. Jpn. Pt. I

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Existing image coding systems can be categorized into lossy and lossless coding methods. Nearly lossless compression, which attains both higher compression performance than lossless compression and higher image quality than lossy compression, is required in applications that include medicine and printing. This paper proposes a nearly lossless coding method in which distortion is restricted to within a predetermined range. The RGB input signals are transformed into one luminance and two chrominance components: the magnitudes of these luminance and c h r o h c e components are adjusted in the encoder so that the reconstructed RGB signals have minimum distortion after inverse color transformation in the decoder. The prediction residual signals of these level-adjusted components are entropy coded. As a result, the reconstructed RGB signals have coding distortion levels of only +1 or -1. This restricted distortion never accumulates even if encoderldecoder couples are connected in tandem because all encoders and decoders operate in synchrony.

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Signal analysis and compression performance evaluation of pathological microscopic images

Okumura

Suzuki

Furukawa

et al. 1997

IEEE Trans. Med. Imaging

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Digitizing high-quality microscopic images and developing input/output technology for displaying those results is critical to telepathology in which pathological microscopic images are transferred to remote locations where they are diagnosed by specialists. This paper will discuss the results achieved by directly digitizing (nonfilm process) pathological microscopic images at a 2k x 2k resolution, and then using a super-high-definition imaging system to analyze their signals and evaluate compression performance. We will start off by digitizing samples that a pathologist will actually use in making a diagnosis, and then analyze their color distribution and spatial frequencies characteristics by comparing them to general images. This will make it apparent that such pathological images characteristically contain high spatial frequency in their chrominance components. We will also discuss the evaluation results of color differences for L*a*b* space and compression ratios achieved when using JPEG to encode pathological images. We will also present a subjective evaluation of the influence subsampling of chrominance components has on image quality.

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<title>Super high-definition still/motion images digitizing system and standard test images</title>

Cited by 4 publications

References 0 publications

<title>Media integration platform on superhigh-definition images: parallel digital signal processor approach</title>

<title>Media integration platform on superhigh-definition images: parallel digital signal processor approach</title>

Nearly lossless compression of color still images and its performance evaluation

Signal analysis and compression performance evaluation of pathological microscopic images

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