Mr. Eiji Atsumi Profile

Eiji Atsumi

Operation Manager at NineSigma Japan Inc

SPIE Involvement:

Author

Proceedings Article | 16 May 2003 Paper

Digital camera system built on JPEG2000 compression and decompression

Eiji Atsumi

Proceedings Volume 5017, (2003) https://doi.org/10.1117/12.476745

KEYWORDS: Cameras, Image compression, Image processing, JPEG2000, Imaging systems, Digital cameras, Image resolution, Image restoration, Image quality, Computer programming

Read Abstract +

Proceedings Article | 4 April 1997 Paper

Unified interpretation of projection method, linear interpolation, and the inductive introduction of improved reduction and enlargement methods

Eiji Atsumi, Masayuki Yoshida, Fumitaka Ono

Proceedings Volume 3025, (1997) https://doi.org/10.1117/12.270043

KEYWORDS: Lithium, Phase modulation, Image quality, Image filtering, Filtering (signal processing), Digital filtering, Signal processing, Promethium, Digital signal processing, Image processing

Read Abstract +

Proceedings Article | 21 April 1995 Paper

Image data compression with selective preservation of wavelet coefficients

Eiji Atsumi, Fuminobu Ogawa, Naoto Tanabe, Fumitaka Ono

Proceedings Volume 2501, (1995) https://doi.org/10.1117/12.206763

KEYWORDS: Wavelets, Image quality, Image filtering, Image compression, Image resolution, Wavelet transforms, Visualization, Computer simulations, Quantization, Information visualization

Read Abstract +

Wavelet transform has recently been attracting notable attention in its applicability for a variety of signal processing or image coding1'2'3, since it is expected that wavelet provides a unified interpretation to transform coding, hierarchical coding, and subband coding, all of which have ever been studied separately. It is also expected that wavelet transform is shown to be more advantageous than other image coding schemes because the wavelet coefficients represent the features of an image localized both in spatial and frequency domains4'5. In case of transform coding or subband coding, the efficiency is generally maximized by designing bit allocation to each decomposed band signal proportional to the relative importance of information in it. This technique is known as the optimum bit allocation algorithm (OBA). However, OBA should not directly be applied to the wavelet coding, because OBA does not well exploit the spatial local information represented on each wavelet coefficient. The purpose of this work is to develop a quantization scheme which maintains significant spatial information locally represented on wavelet coefficients. Preserving only the selected coefficients which represent visually significant features and discarding the others, is expected to keep high image quality since the significant features will be kept even at a low bit rate. In this respect, we propose two kinds of image data compression techniques employing a selective preservation of wavelet coefficients. Section 2 gives a brief description of wavelet transform, which includes construction of wavelet basis functions, feature extraction with wavelet, and multi-resolution property of wavelet. In Section 3, the first technique is proposed where resolution dependent thresholding is introduced to classify wavelet coefficients into significant or insignificant ones. In Section 4, the second technique is proposed where better performance can be achieved by further classifying significant coefficients with a multiresolution property of wavelet. Finally, summary and conclusions are provided in Section 5.

Conference Committee Involvement (4)

Digital Photography III

29 January 2007 | San Jose, CA, United States

Digital Photography II

16 January 2006 | San Jose, California, United States

Digital Photography

17 January 2005 | San Jose, California, United States

Sensors, Color, Cameras, and Systems for Digital Photography

19 January 2004 | San Jose, California, United States

Keywords/Phrases

Search In:

Publication Years