Color Night Vision Research Based on Multi-resolution Color Transfer

Shi-ming, 史世明 Shi; Lingxue, 王岭雪 Wang; Jin, Weiqi; Yuanmeng, 赵源萌 Zhao

doi:10.3788/gzxb20103903.0553

Cited by 3 publications

(3 citation statements)

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“…At first, the CCIR656 digital video will be buffered by ZBT SRAM after being sent into FPGA. Read from buffers, the data will be dealt by the image fusion algorithm and color transfer algorithm [7] in pipeline mode. The processing of the algorithm in each step on data stream shall only take a few pixel clocks.…”

Section: Gfdipc For Image Fusion Applicationmentioning

confidence: 99%

General Digital Image Processing Circuit and its Applications

Fan

Chen

2014

AMR

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In this paper, the design and architecture of general digital image processing circuit (GFDIPC) based on a Xilinx Virtex-5 FPGA processor is presented. The GFDIPC applications on thermal imaging, image fusion, real-time video stabilization and time-delay test for image processing system are described. The design of FPGA in each application follows the principle of functional modularity, pipeline processing and parallel computing, which brings FPGA high efficiency and high real-time performance.

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Section: Gfdipc For Image Fusion Applicationmentioning

confidence: 99%

General Digital Image Processing Circuit and its Applications

Fan

Chen

2014

AMR

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“…(2) Outstand night vision image details. The multi-resolution analysis is another popular method [2,4,5], because of its compliance with the principles of human vision. In this method, the details of color night vision images can be reconstructed very well.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with other algorithms, the night vision image process algorithm in RGB space-based is the fastest one. The famous algorithms based on RGB space are the NRL [5] method proposed by the U.S. Naval Research Laboratory and the Toet's Constructor method [6].…”

Section: Introductionmentioning

confidence: 99%

Night Vision Image Fusion Based on Phase Information Modulation and Image Enhancement Technique

Zhou¹,

Zhai

Han

et al. 2014

AMM

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In order to observe night vision image easily, a new image fusion method is designed to improve the detail information of night vision images in a simple and efficient way. Instead of the traditional Multi-resolution analysis and spatial transform approach, the designed method highlights the detail information of night vision images by phase modulation and image enhancement technique. In the designed approach, the phase spectrum and amplitude spectrum of the visible and infrared images are extracted using FFT firstly, and then the phase spectra of two images are exchanged and the IFFT is applied to the processed images to produce phase information images. To compensate for the blurring caused by phase modulation, the high-frequency information of the processed infrared image is segmented and applied to the reconstruction of the color night vision image. Finally, color night vision image is fused by assigning the two-modulated images to red and green channels respectively, and the segmented image to blue channel. The experimental results show that the details of the fused image by the new method are richer than those of the images fused by the traditional methods, and the designed algorithm with a little amount of calculation can be easily realized in real-time processing systems.

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