What is the Gaussian pyramid?
Gaussian pyramid is a number of images, usually processed by computer, which are often constantly regenerated. When one image is blurred and its subset is created, a set of images with one smaller than the last is generally the result of the calculation. Pixels or the smallest individual parts of the image usually occupy average content than those in the previous figure; In general, pixels correspond to different levels of the pyramid, the upper part representing the original image and lower levels representing the images.
The various image processing techniques include the use of calculations of the Gaussian pyramid. Synthesis of computer graphics texture is once an application, while the principle often also uses computer vision applications. The first level of the pyramid, called the K level, is usually processed for the first time by generating the Gaussian blur before a partial sample from the inside of the image; The next phase is generally called K+1 level. Process called Convolution is often performed at this stage, which usually includes averageintensity in a certain part of the image.
Calculation of each step of the Gaussian pyramid generally requires a number of mathematical formulas. These integrate the principles of trigonometry, derivatives and functions; Long equations can be used to solve problems related to image processing. The texture is one aspect that is solved by computer systems because it often has regular patterns that are repeated, and there are other types of patterns. The Gaussian pyramid is usually used for gray scale images, but can also be used on different parts of the color spectrum.
The concept is similar to Laplacian Pyramid, which refers to clusing points on the graphs. In the case of the picture, these points may match the pixels. Computer software is often used to feature the calculations needed to create images associated with the Gaussian pyramid. The programming code is usually designed to allow the software to automatically perform mathematicsWhile the picture is generated. Such mathematical calculations are called algorithms and can be used to change image pixels; The properties that are required can be preserved, while others that are undesirable can be removed.
various image filtering methods may include processing techniques associated with the Gaussian pyramid. Linear filtering is often used, while images with damaged data can be processed using non -linear filters to remove noise or distortion created by undesirable data. The Gaussian pyramid technique can be used several times in the same image, which is usually suitable for use with sophisticated computer graphics programs.