Image optimization system and method for optimizing images

A computerized method for optimizing images captured by an image capturing device, the method comprising:

• capturing a digital image of an object using the image capturing device, and obtaining a standard image of the object from a storage system of a computing device;
• calculating an image average energy density (IAED) value of the digital image based on RGB (red, green, blue) channels of the digital image, wherein the IAED value of the digital image is an image energy density of each pixel point of the digital image;
• calculating an IAED value of the standard image based on RGB channels of the standard image, wherein the IAED value of the standard image is an image energy density of each pixel point of the standard image;
• calculating a difference value between the IAED value of the digital image and the IAED value of the standard image;
• optimizing each pixel point of the digital image to generate an optimized pixel point according to the IAED difference value of the digital image and the standard image;
• and
• integrating all the optimized pixel points to generate an optimized image, and displaying the optimized image on a display device of the computing device wherein an IAED value is of an image is calculated by a calculation equation IAED=(R+G+B)/N/N, wherein R represents a pixel value of an R channel, G represents a pixel value of a G channel, and B represents a pixel value of a B channel, and N represents a total number of pixel points of the image.

A non-transitory computer-readable medium having stored thereon instructions that, when executed by at least one processor of a computing device, causes the method for optimizing images captured by an image capturing device, the method comprising:

• capturing a digital image of an object using the image capturing device, and obtaining a standard image of the object from a storage system of the computing device;
• calculating an image average energy density (IAED) value of the digital image based on RGB (red, green, blue) channels of the digital image, wherein the IAED value of the digital image is an image energy density of each pixel point of the digital image;
• calculating an IAED value of the standard image based on RGB channels of the standard image, wherein the IAED value of the standard image is an image energy density of each pixel point of the standard image;
• calculating a difference value between the IAED value of the digital image and the IAED value of the standard image;
• optimizing each pixel point of the digital image to generate an optimized pixel point according to the IAED difference value of the digital image and the standard image;
• and
• integrating all the optimized pixel points to generate an optimized image, and displaying the optimized image on a display device of the computing device, wherein an IAED value is calculated by a calculation equation IAED=(R+G+B)/N/N, wherein R represents a pixel value of an R channel, G represents a pixel value of a G channel, and B represents a pixel value of a B channel, and N represents a total number of pixel points of the image.