VLSI image compression encoder based on wavelet transformation

A technology of wavelet transform and image compression, which is applied in image communication, television, electrical components, etc., can solve the problems of image quality reduction, block effect, and difficulty in realizing high-speed real-time image compression coding, etc., so as to reduce algorithm complexity and reduce hardware The effect of consumption

Active Publication Date: 2009-04-08
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

However, the current image compression algorithms generally have high computational complexity. For example, the JPEG2000 algorithm uses complex EBCOT encoding and the PCRD-OPT code rate allocation algorithm that needs to be solved iteratively. When it is implemented by a general-purpose processor

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  • VLSI image compression encoder based on wavelet transformation
  • VLSI image compression encoder based on wavelet transformation
  • VLSI image compression encoder based on wavelet transformation

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Embodiment Construction

[0027] The present invention will be described in detail below in conjunction with the accompanying drawings and specific real-time modes.

[0028] Such as figure 1 As shown, the present invention relates to a hardware-based image compression encoder, which is an embeddable compression IP core, which directly receives uncompressed camera image data during use, and writes these data into the follow-up after being compressed by the present invention In the recording equipment, because this encoder can guarantee the data compression of more than 10 times under the premise of better image quality for general images, it can effectively prolong the recording time of the recording equipment and reduce the transmission bandwidth.

[0029] The present invention mainly utilizes 5 / 3 wavelet transform to remove redundancy between image pixels, and the 5 / 3 wavelet transform based on lifting structure mainly includes two operations of prediction and update, and its equations are shown in (1...

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Abstract

A VLSI image compression encoder based on wavelet transformation comprises a center control, a data exchange unit, a wavelet transformation driver with one to three level, a two-dimensional wavelet transformation engine, a combined encoder and two data bufferings of RAM_A and RAM_B; firstly, the encoder carries out three level wavelet transformation on an input image by using the wavelet transformation driver with one to three level and the two-dimensional wavelet transformation engine; and then an optimum quantizer in the combined encoder respectively quantizes each subband; entropy coding is carried out on the quantized coefficient by a self-adapting zero run-length encoder and an Exp-Golomb encoder in the combined encoder; and finally the compression code stream is obtained. In the encoder, hardware is used for realizing an image compression algorithm and improving image compression speed, and causes that an image recorder has real time image compression capability, thus effectively prolonging recording time and improving transmission capability.

Description

technical field [0001] The invention relates to an image compression encoder based on hardware, in particular to a high-performance and low-complexity VLSI image compression encoder based on wavelet transform. Background technique [0002] With the popularity of computer technology applications, digital images have become the main image information carrier that people come into contact with every day. Images have the characteristics of large amount of information and large amount of data. According to analysis, less than 20% of the information received by human beings is received through sound, while more than 80% of the information received through eyes has been recorded since ancient times. Seeing is better than smelling” vividly illustrates the importance and urgency of image information exchange. However, general images are high-dimensional data. As the size increases, the amount of data increases at a geometric rate. If the contradiction between the huge amount of data...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/124H04N19/13H04N19/156H04N19/42H04N19/63H04N19/91H04N19/93
Inventor 徐智勇徐勇张启衡张耀
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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