Bionic image restoration method based on human visual characteristics
A technology of human visual characteristics and images, applied in the field of bionic image restoration that simulates the human visual system, can solve problems such as difficulty in finding the optimal network, inability to completely retain the original image, loss of smoothness and other characteristics of the observed image, and achieve restoration The effect of regional brightness contrast and brightness gradient information, strong image generalization ability, and good restoration effect
A technology of human visual characteristics and images, applied in the field of bionic image restoration that simulates the human visual system, can solve problems such as difficulty in finding the optimal network, inability to completely retain the original image, loss of smoothness and other characteristics of the observed image, and achieve restoration The effect of regional brightness contrast and brightness gradient information, strong image generalization ability, and good restoration effect
CN101853490AInactive Publication Date: 2010-10-06INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
Image
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0028] In order to quantitatively describe the input-output characteristics of the retinal ganglion cell receptive field, the present invention adopts a double Gaussian difference model (DOG model) to describe the traditional receptive field of the ganglion cell with concentric overlapping circular areas of different sizes. central and peripheral areas. However, studies have shown that there is a large-scale disinhibition area in the traditional receptive field. Based on the DOG model, a three-Gaussian model is proposed, and a third Gaussian kernel is added to represent a large-scale disinhibition area.
[0029] Biological studies have shown that the subjective brightness of the human eye is a logarithmic function of the ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of image processing, and discloses a bionic image restoration method based on human visual characteristics, which comprises the following steps that: step 1: the brightness of an image is extracted; step 2: the neighborhood average brightness of a current point is calculated by gaussian filtration; step 3: the local linear relationship with actual light intensity logarithm is felt by the subjective brightness of human eyes, and the local contrast of the image is adjusted; and step 4: the brightness image with the adjusted local contrast is compared with the brightness of an original image to linearly adjust the color information of the image and realize the linear restoration of the image color. Experiments show that the method can effectively restore vague images, and particularly to image boundary regions, not only can enhance the border contrast but also can effectively improve the regional brightness contrast and the brightness gradient information.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a bionic image restoration method that simulates the human visual system. Background technique [0002] Image restoration is an important part of image processing technology. It is not only widely used in scientific research and engineering practice in many fields such as astronomy, satellite remote sensing, medical imaging, industrial vision, military public security, etc., but also widely used in video restoration. , historical photo and film restoration, video and multimedia image restoration, and scanned document processing. A fundamental problem in image restoration is deblurring. The essence of image blur is that the image is subjected to averaging or integral operations. From the analysis of the frequency domain, the essence of image blur is that its high-frequency components are attenuated. Therefore, for example, differential operation or high-frequency weight...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
06 Oct 2010
Publication
CN101853490A
- IPC
- G06T5/00
- Inventors
- 金小贤; 李卫军