High-speed compression imaging method based on sliding window type data processing
A compression imaging and data processing technology, applied in image data processing, processor architecture/configuration, image encoding, etc., can solve the problem of low output image frame rate, achieve the effect of reducing memory usage, avoiding sequence, and improving operating speed
Active Publication Date: 2020-08-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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[0006]In order to solve the problem of low frame rate of the output image caused by the need to obtain multiple frames of low-resolution modulation images to reconstruct a frame of high-resolution images in compressed imaging applications , the technical problem to be solved by a high-speed compressed imaging method based on sliding window data processing disclosed in the present invention is: to realize high-speed compressed imaging based on sliding window data processing, and to improve the output image without changing the detector and imaging quality. frame rate
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[0031] A high-speed compressed imaging method based on sliding window data processing disclosed in this embodiment applies the high-speed compressed imaging method based on sliding window data processing to a mid-wave infrared monitoring compressed imaging system. Most common mid-wave infrared cameras on the market have a frame rate of 30 to 60 frames per second. Using traditional compression imaging processing methods, even if only four measurements are used to reconstruct one frame of image, the reconstructed high-resolution image will The frame rate is reduced to 1 / 4 of the frame rate of the detector, which cannot make the output image meet the requirements of real-time imaging (such as figure 1 as shown in the General Processing Methods section). However, using the sliding window data processing method, in addition to the first three captured images, the reconstruction algorithm can reconstruct a high-resolution image every time the camera captures a low-resolution image. ...
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The invention discloses a high-speed compression imaging method based on sliding window type data processing, and belongs to the technical field of compression imaging. The high-speed compression imaging method comprises the following steps of: acquiring low-resolution images modulated by a template by using a low-resolution detector; grouping the acquired images in a window sliding mode to obtainm groups of to-be-processed images; performing intra-group sorting on the obtained m groups of to-be-processed images according to a template sequence to obtain m groups of low-resolution images which are subjected to intra-group sorting according to the template sequence, so that an image reconstruction algorithm performs image processing according to the template sequence, and the storage spaceoccupied by template information is saved; and performing image reconstruction on the resorted low-resolution images in each group by using a compressed imaging image reconstruction algorithm, namelyreconstructing each group of low-resolution images into a frame of high-resolution image to obtain m frames of high-resolution images. High-speed compression imaging is realized based on sliding window type data processing, and the frame rate of the output images is improved on the premise of not changing the detector and the imaging quality.
Description
technical field [0001] The invention belongs to the technical field of compressed imaging, and in particular relates to a high-speed compressed imaging method using sliding window data processing. Background technique [0002] Compressed sensing takes advantage of the sparsity of the signal to greatly reduce the amount of collected data by collecting far less than the limit of the Nyquist sampling theorem, and provides a new idea for signal collection and signal compression. [0003] The application of compressed sensing to imaging is called compressed imaging. Compressive imaging refers to the use of compressed sensing theory to obtain high-resolution images with low-resolution detectors (typically such as single-pixel detectors) and spatial light modulators. Since compressed imaging can use low-resolution detectors to obtain high-resolution images, and the amount of data to be stored is low, in some cases where the resolution of the detector is limited or the data storage...
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IPC IPC(8): G06T3/40G06T9/00G06T1/20
CPCG06T3/4053G06T9/00G06T1/20
Inventor 柯钧张临夏
Owner BEIJING INSTITUTE OF TECHNOLOGYGY