30results about How to "Guaranteed time and efficiency" patented technology

The invention discloses an information hiding method of a 3-dimensional reference matrix based on a mini sudoku matrix. Firstly, construct a 3D Cubic reference matrix model; secondly, according to the difference table, secret information value and pixel value characteristics, the addressing modification is carried out in the external hidden layer, and the secret information is hidden, and the corresponding space search area is obtained; after that, in The default value of the corresponding space search area is modified, and the secret information is hidden in the inner hidden layer; finally, the value of the pixel group is modified according to the coding coordinates of the inner and outer hidden layers, and the hidden image embedded with the secret information is obtained. Experimental results show that the present invention not only can achieve better image quality and higher embedding capacity, but also has very considerable embedding efficiency and can realize real-time embedding. In addition, according to the algorithm proposed by the present invention, the 3-dimensional reference matrix can still be deduced into an N-dimensional reference matrix, and the time efficiency of information embedding is still guaranteed.

The invention relates to a fast image filtering method based on space filling curves and extreme points. The fast image filtering method based on the space filling curves and the extreme points comprises the following steps: a first step is that a source image to be filtered is input; a second step is that a Hilbert curve is generated; a third step is that pixel points in a two-dimensional image domain are subjected to sequencing according to an order indicated by the Hilbert curve, and a one-dimensional pixel point sequence is generated; a fourth step is that a maximum envelope and a minimum envelope of the one-dimensional pixel point sequence are calculated, and the obtained envelopes are subjected to fine processing; a fifth step is that the maximum envelope and the minimum envelope after the fine processing are used as input values, and an image base and image details after a smoothing filtering process are obtained through calculation of a mean value; and a sixth step is that one-dimensional filtering results of the image base and the image details are subjected to counter-Hilbert sequencing, an original two-dimensional image is divided into a smooth part and a detail part, and therefore filtering is finished. The fast image filtering method based on the space filling curves and the extreme points can extremely reduce interpolation errors and lower the complexity of the filtering, and can achieve a quasi-real-time effect.