Image analysis – Image compression or coding – Quantization
Patent
1996-06-27
1998-12-01
Mancuso, Joseph
Image analysis
Image compression or coding
Quantization
G06K 938
Patent
active
058450165
ABSTRACT:
An image compressing apparatus employs a mean-separated normalized vector quantization method according to which, with respect to vector components corresponding to input images inputted from image sensors via a plurality of lines, encodes and outputs a scalar-quantized code of a mean value, a scalar-quantized code of a maximum scalar product value with each code word in a code book, and an index of one of the code words which yields a maximum scalar product value. In this image compressing apparatus, when the maximum scalar product value is less than a predetermined threshold value, in accordance with judgement by a comparator circuit, an output selecting circuit stops outputting the codes of the maximum scalar product value and of the index, and outputs only the code of the mean value. Therefore, when the image is uniform with pixels varying little in their luminance levels in compression processing unit blocks, code data to be outputted are restricted so that only data of the mean value are outputted. Consequently, it is possible to restrain degradation of the image and to considerably reduce data amount.
REFERENCES:
patent: 4910608 (1990-03-01), Whiteman et al.
High Efficiency Picture Coding using Vector Quanti, (T. Murakami et al, The IEICE, Tech. report vol. 85, No. 226, IT86-61 (English Translation), Dec. 1985.
Subband Coding of 3D MRI Using Octress ICASSP/95: Acoustic, Speech & Signal Processing Conf. IEEE/IEE Publications, vol. 4, 1995.
Real-time Video Compression Using Differential Vector quantizatin by Fowler et al IEEE/IEE Public, vol. 5, issue 1, Feb. 1995.
A very low bit rate video coder based on vector quantization by Corte-Real et al IEEE Transaction on Image Proc. vol. 5, issue 2, Feb. 1996.
"High Efficiency Picture Coding Using Vector Quantization" (T. Murakami et al., the IEICE (Institute of Electronics, Information and Communication Engineers of Japan) Technical Report vol. 85, No. 226, IT85-61, P1-8, Published Dec. 5, 1985).
"Vector Quantization and Its Application to Image Coding" (T. Saito et al., the IEICE Technical Report vol. 87, No. 132, IE87-58, P47-54, Published Jul. 24, 1987).
Fujio Mitsuhiko
Iizuka Kunihiko
Matsui Hirofumi
Miyamoto Masayuki
Ahmed Samir
Conlin David G.
Lowry David D.
Mancuso Joseph
Sharp Kabushiki Kaisha
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