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A two-dimensional discrete wavelet transform vlsi design method for eliminating transposition memory

A two-dimensional discrete wavelet and discrete wavelet transform technology, used in CAD circuit design, computer-aided design, instruments, etc., can solve the problem that the two-dimensional wavelet transform structure cannot achieve optimal design, off-chip memory consumes more power consumption, The problem of low hardware efficiency is to achieve the effect of low storage performance, eliminating input data storage and saving storage resources.

Active Publication Date: 2022-05-17
TIANJIN UNIV
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Problems solved by technology

Reading off-chip memory requires more power consumption
[0006] Although the existing technologies have reduced memory requirements, they all sacrifice off-chip memory or throughput
In addition, the traditional structure generally adopts the same circuit structure for row and column transformation, but due to the different data scanning methods of row and column transformation, the overall two-dimensional wavelet transform structure cannot achieve the optimal design, and the hardware efficiency is not high.

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  • A two-dimensional discrete wavelet transform vlsi design method for eliminating transposition memory
  • A two-dimensional discrete wavelet transform vlsi design method for eliminating transposition memory
  • A two-dimensional discrete wavelet transform vlsi design method for eliminating transposition memory

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Embodiment Construction

[0024] The design of the two-dimensional discrete wavelet transform for eliminating the transposition memory of the present invention is based on the 9 / 7 discrete wavelet lifting algorithm. First, a new iterative step-by-step calculation method for dynamically calculating the two-dimensional wavelet transform is designed by adjusting the data calculation sequence of the lifting algorithm. . The hardware implementation structure includes row filter, column filter and scaling module. The image data enters the row filter serially, and after the three sequences are split, one-dimensional row transformation is performed. The low-frequency L component and high-frequency H component output by the row filter enter the single-input column filter in parallel to complete the one-dimensional column transformation. After the scaling module, the wavelet coefficient results of the four subbands of LL, LH, HL, and HH are obtained.

[0025] The line filter is responsible for completing the on...

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Abstract

The invention relates to a two-dimensional discrete wavelet transform VLSI design method for eliminating transposition memory, realized based on 9 / 7 discrete wavelet transform, characterized in that the hardware architecture includes a one-dimensional row filter, a one-dimensional column filter and a scaling module, The data flow sequence is as follows: the input data first enters the row filter row by row, and the low-frequency components and high-frequency components output after the one-dimensional row transformation do not need to transpose the memory cache, and directly enter the two single-input column filter modules in parallel. The one-dimensional transformation is carried out again according to the column scanning order, and the output result of the column transformation passes through the scaling module to obtain the four subband results of the two-dimensional discrete wavelet transformation.

Description

technical field [0001] The present invention belongs to the design category of Very Large Scale Integration (VLSI for short), and designs a two-dimensional discrete wavelet transform high-efficiency and low-storage structure that eliminates transposition memory. Background technique [0002] On the premise of not losing the original signal information, the discrete wavelet transform can stretch and shift the signal in the two dimensions of time domain and frequency domain. It has a flexible and adaptive time-frequency window, which is a good time-frequency localization analysis. tool. In addition, its multi-resolution analysis feature can focus on any details of the signal, and is widely used in digital signal filtering and denoising, image compression and other fields. [0003] At present, the hardware implementation of discrete wavelet transform mainly includes two structures based on convolution and based on lifting. Among them, based on the improved discrete wavelet tr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/30G06F115/12
CPCG06F30/30G06F2115/12Y02D10/00
Inventor 张为郝亚喆
Owner TIANJIN UNIV