Image analysis – Image compression or coding – Quantization
Reexamination Certificate
2007-12-04
2007-12-04
Sherali, Ishrat (Department: 2624)
Image analysis
Image compression or coding
Quantization
Reexamination Certificate
active
10625364
ABSTRACT:
An image distribution system has a source that encodes digital images and transmits them over an error-prone channel to a destination. The source has an image coder that processes the digital images using vector transformation followed by vector quantization. This produces groups of vectors and quantized values that are representative of the images. The image coder orders the vectors in the codebooks and assigns vector indexes to the vectors such that a bit error occurring at a less significant bit in a vector index results in less distortion than a bit error occurring at a more significant bit. Depending upon the format and the capabilities of the source and destination, the image coder may allocate different numbers of bits to different groups of vectors according to a bit allocation map for this allocation process. The source also has a UEP (Unequal Error Protection) coder that layers the vector indexes according to their significance. Two possible approaches include frequency-based UEP and bit-plane based UEP. The source transmits a bitstream that includes the image values, a bit allocation map, and the layered vector indexes. The destination receives the bitstream and recovers the vectors using the vector indexes and bit allocation map. The destination then reconstructs the image from the image values and the vectors.
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Li Shipeng
Xin Jun
Zhang Ya-Qin
Lee & Hayes PLLC
Microsoft Corporation
Sherali Ishrat
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