A Realization System and Method of JPEG2000 Image Coding

Abstract

The invention provides a realization system and method for JPEG2000 image coding, aiming at realizing the consumption reduction of a rate distortion optimizing and storing resource at any arbitrary code rate and the reduction of the calculation time on the premise of not affecting the image compression coding performance. The realization method comprises the following steps: a preprocessing modulepreprocesses an input image; a discrete wavelet transform module performs discrete wavelet transform on the preprocessed image to obtain a wavelet sub-band coefficient; a quantization module quantizes the wavelet sub-band coefficient to obtain a quantized code block; a Tier1 module carries out bit plane coding, MQ coding and slope calculation on the quantized code block to obtain compressed codestreams, code rates and slopes of all valid channels; a code stream intercepting module carries out parallel interception on the compressed code streams of all the valid channels according to the coderates and the slopes of all the valid channels and the target code rate Rtarget of current image coding, so as to obtain an intercepted code stream; and a code stream organization module performs code stream organization on the intercepted code stream to obtain an output image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a JPEG2000 image coding realization system and method, which can be used for image compression coding of various digital devices. Background technique [0002] With the development and application of multimedia and network technology, traditional image compression algorithms can no longer meet the requirements of the current market and practical applications. Therefore, the International Standards Organization formulated a new standard JPEG2000 for still image compression in November 2000. The new standard adopts the rate-distortion optimized truncation embedded code block coding algorithm (EBCOT) based on wavelet transform technology, and has achieved better image compression effect. Standard JPEG2000 encoding system such as figure 1 As shown, EBCOT is divided into two parts: Tier1 coder and Tier2 coder. Tier1 is composed of embedded bit-plane coding and M...

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Problems solved by technology

However, the disadvantage is that the number of channels that Tier1 needs to be encoded is reduced by the rate estimation and pre-interception, which is related to the bit rate (bpp). When the bit rate is low, a large number of channels are discarded during the pre-interception process of Tier1, thus Significantly reduces the amount of storage and calculation time, but at a high bit rate, only a small number of channels are discarded in the pre-interception process of Tier1, so the resources and time reduced are very limited. In addition, the channels discarded by pre-interception at Tier1 and The channel discarded by the PCRD algorithm in the Tier2 interception process is not completely contained, resulting in the loss of a part of the useful code stream, which will affect the image compression coding performance

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