Adaptive block compressive sensing reconstruction method

Abstract

The invention belongs to the field of image processing, and particularly relates to an adaptive block compressive sensing reconstruction method used for feature extraction and identification of a target image. The adaptive block compressive sensing reconstruction method comprises the steps that initial parameters are defined; the image is divided into sub-image blocks with the sizes being A; energy E of each sub-image block is calculated, and according to a preset energy threshold value T, each sub-image block is divided into a background sub-image block and a target sub-image block; a background region and a target region of the image are blocked again; measured-value obtaining and image reconstruction are conducted on the background region and the target region of the image with the same sampling rate; a reconstructed target region image and a reconstructed background region image are combined into a reconstructed original image. As for the adaptive block compressive sensing reconstruction method, the image is divided into the background region and the target region according to an energy value, different blocking schemes are used for the background region and the target region, a blocking effect on the target region can be omitted, and better reconstruction quality can be obtained with less reconstruction time.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an adaptive block compression sensing reconstruction method for feature extraction and recognition of target images. Background technique [0002] Compressive sensing theory can accurately restore the original signal with fewer measured values, and it has a greater advantage when it is used for the acquisition of a signal with a large amount of data such as an image. It only needs simple measurement to complete the acquisition and compression. Work. [0003] Practice has shown that when performing image reconstruction, it is quite a large amount of calculation to reconstruct the entire image directly using compressed sensing theory. LU Gan's "Block compressed sensing of natural images". Conf.on Digital Signal Processing, Cardiff, UK, The block-wise compressive sensing method proposed in 2007 can solve this problem. The block-based compressed sensing reconstruction mo...

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Problems solved by technology

However, the correlation between adjacent sub-image blocks is not considered. During image reconstruction, the boundaries of each image sub-block (especially in the target area) are prone to discontinuity, which affects the judgment and recognition of the target.

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