Scalar quantization using bit-stealing for video processing and its application in video coding

Abstract

The application discloses a scalar quantization using bit-stealing for video processing and its application in video coding. Systems, methods, and apparatus for adaptively zeroing out transform coefficients utilizing a bit-stealing parameter are presented herein. A partitioning component can be configured to separate an image into blocks of video data. Further, a frequency transform component canbe configured to transform pixels of a block of the blocks into transform coefficients. Furthermore, a bit-stealing quantization component configured to predefine quantization intervals. Moreover, the bit-stealing quantization component can modify a size of a quantization interval of the quantization intervals based on a variable bit-stealing parameter. Further, the bit-stealing component can quantize a transform coefficient of the transform coefficients, based on the quantization interval, to a quantized coefficient value of quantized coefficient values.

Description

[0001] This application claims priority to US Provisional Patent Application No. 61 / 213,559, filed June 19, 2009, entitled "Scalar Quantization Using Bit Steering Method and Its Application to Video Coding." This application is incorporated herein by reference in its entirety. technical field [0002] In general, this application relates to the field of image processing, including but not limited to scalar quantization using bit-steering methods for video processing. Background technique [0003] The demand for efficient data compression (or more generally, encoding) techniques continues to increase. For example, video encoding is a core technology for many applications, including: consumer electronics, such as DVD players / recorders, digital cameras, mobile phones, etc.; Internet, such as streaming video applications, distance education, monitoring and / or or security applications and so on. In addition, audio compression technology also has a wide range of applications, su...

AI Technical Summary

Problems solved by technology

Although this technique associates the adjustment of the size of the dead zone with DZ+UTQ, such as using the parameters of the dead zone (z) and / or the compensation value (f) during rounding to improve the coding efficiency of the scalar quantizer during coding, but This technique still causes an increase in rate-distortion

[0007] The drawback of today's image processing techniques and related coding techniques mentioned above is that they only provide an overview of the problems with traditional techniques and are not comprehensive

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