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Two-dimensional discrete wavelet transform circuit and image compression method using same

A two-dimensional discrete wavelet and transform circuit technology, used in image communication, television, electrical components, etc., can solve the problems of complex VLSI structure and low hardware utilization, meet the requirements of reducing the capacity and quantity of off-chip memory, and reduce development. Difficulty and cost, the effect of improving data processing speed

Inactive Publication Date: 2012-01-25
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a two-dimensional discrete wavelet transform circuit to solve the problem of discrete wavelet transform. The row transform and column transform of the existing VLSI architecture are separated, and a large amount of intermediate data storage and processing are required. Satisfy complex timing requirements, resulting in complex internal structure of VLSI and low hardware utilization

Method used

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  • Two-dimensional discrete wavelet transform circuit and image compression method using same
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  • Two-dimensional discrete wavelet transform circuit and image compression method using same

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specific Embodiment approach 1

[0014] Specific implementation mode one: the following combination figure 2 and Figure 4 This embodiment will be specifically described. The two-dimensional discrete wavelet transform circuit of this embodiment includes a SRAM control signal generation module U1, a data rearrangement module U2, a wavelet transform module U3, a control module U4, a display control module U5, a state monitoring module U6, a data file memory U7, and a bus width Conversion module U8, data rearrangement module U2 includes first-in-first-out memory 1 and D flip-flop array 2, state monitoring module U6 is composed of data flow monitoring circuit 3 and state signal generation circuit 4, control module U4 is composed of read-write address control circuit 5 , state control circuit 6, order conversion control circuit 7 and buffer circuit 8, wavelet transform module U3 is composed of LL digital filter 9, LH digital filter 10, HL digital filter 11, HH digital filter 12 and digital selection and Combini...

specific Embodiment approach 2

[0015] Specific implementation mode two: the following combination figure 2 This embodiment will be specifically described. The difference between this embodiment and Embodiment 1 is that it also includes a display screen 14 and a display screen synchronous signal processing circuit 15, and the signal input end of the display screen synchronous signal processing circuit 15 is connected to another data output of the digital selection and merging circuit 13. terminal, the data output terminal of the digital selection and combining circuit 13 is connected to the data input terminal of the display screen 14 . With such setting, the data after discrete wavelet transformation can be displayed.

specific Embodiment approach 3

[0016] Specific implementation mode three: the following combination figure 1This embodiment will be specifically described. The image compression method of the present embodiment comprises the following steps: 1. Data preprocessing: the image is set in the scanning area of ​​the wavelet transform window filter as the compression object; if the amount of data of the image is relatively large, the wavelet transform window filter The scanning area is divided into several areas of equal size, and each area is compressed independently to reduce the memory resources required for the compression process. If the memory is sufficient, compression can also be performed without dividing regions.

[0017] It is also possible to perform magnitude reduction on downsampled samples of compressed objects. The magnitude reduction is to subtract 2 from an unsigned integer with a sampling precision of P p-1 Make the original range [0, 2 p ] samples shifted to [-2 p-1 ,2 p-1 ] within the sc...

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Abstract

The invention relates to a two-dimensional discrete wavelet transform circuit and an image compression method using the same. The circuit and the method aim to solve the problem that massive intermediate data is required to be stored and the meeting of time sequence requirements is complex because the line transformation and column transformation of a conventional very large scale integrated circuit (VLSI) architecture are separated in a discrete wavelet transform link to cause the internal structural complexity of a VLSI and a low hardware utilization rate, and are used for image compression. In the discrete wavelet transform circuit, link scanning filtering and column scanning filtering are performed on pixels in an image at the same time by adopting four digital filters, so that the problems that the massive intermediate data is required to be stored and that the meeting of the time sequence requirements is complex due to the adoption of a way of sequentially performing line scanning transformation and column scanning transformation in the prior art. By the image compression method, the two-dimensional discrete wavelet transform circuit provided by the invention is adopted to effectively eliminate blocking effects, improve digital image compression processing efficiency and increase digital image compression processing speed.

Description

technical field [0001] The invention relates to a two-dimensional discrete wavelet transform circuit, and also relates to an image compression method using the circuit. Background technique [0002] With the development of aerospace technology, digital video and multimedia technology, people have higher and higher requirements for digital image compression. Traditional digital image compression is implemented on a PC or DSP chip through discrete cosine transform (DCT) using software. Due to the sequential execution of the program, this method cannot obtain a higher processing speed. In addition, through discrete cosine transform (DCT) Due to the lack of self-adaptive ability of the analysis window in the completed image processing, block effect inevitably exists. [0003] In recent years, the digital image compression processing realized by discrete wavelet transform (DWT) through hardware circuit has better comprehensive performance. However, in the key link of discrete w...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/126H04N19/426H04N19/63
Inventor 杨春玲张传雨杨梦达朱敏
Owner HARBIN INST OF TECH
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