New PDF release: 26.Image Processing

By John G. Webster (Editor)

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Basically, quantizing a DCT coefficient involves dividing it by a nonzero positive number called the quantization step size and rounding the quotient to the nearest integer. The bigger the quantization step size, the lower the precision of the quantized DCT coefficient, and the fewer the number of bits required to transmit it to the decoder. Usually, higher frequency coefficients are quantized with less precision, taking advantage of the fact that human eyes are less sensitive to high-frequency components in the image.

The use of this standard means that motion video can be manipulated as a form of computer data and can be stored on various storage media, transmitted and received over existing and future networks, and be distributed on existing and future broadcast channels. ), remote emergency systems, remote video surveillance, and wireless multimedia. Object-Based Coding Scheme. Audiovisual information consists of the coded representation of natural or synthetic objects that can be manifested audibly and/or visually.

So, for each range block, the encoder needs to look at all potential domain blocks in the image and also must find the best set of transformations that may be applied on the potential domain blocks to make them similar to the range block. In practice, some range blocks may be very flat and a single DC value may be sufficient to describe them well. In such cases, the encoder may choose not to conduct the search and encode the block by simply saving its DC value. On the other hand, no good matches may be found for some blocks in the image.

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26.Image Processing by John G. Webster (Editor)


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