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Information security has become a focal topic in the information and digital age. How to realize secure transmission and the secure storage of image data is a major research focus of information security. Aiming at this hot topic, in order to improve the security of image data transmission, this paper proposes an image encryption algorithm based on improved Arnold transform and a chaotic pulse-coupled neural network. Firstly, the oscillatory reset voltage is introduced into the uncoupled impulse neural network, which makes the uncoupled impulse neural network exhibit chaotic characteristics. The chaotic sequence is generated by multiple iterations of the chaotic pulse-coupled neural network, and then the image is pre-encrypted by XOR operation with the generated chaotic sequence. Secondly, using the improved Arnold transform, the pre-encrypted image is scrambled to further improve the scrambling degree and encryption effect of the pre-encrypted image so as to obtain the final ciphertext image. Finally, the security analysis and experimental simulation of the encrypted image are carried out. The results of quantitative evaluation show that the proposed algorithm has a better encryption effect than the partial encryption algorithm. The algorithm is highly sensitive to keys and plaintexts, has a large key space, and can effectively resist differential attacks and attacks such as noise and clipping.

The original image has geometric deformation in geometric position, shape, size and orientation due to the shooting angle or capturing in the process of image shooting. It brings a lot of inconveniences and great challenges in image processing field such as image fusion, de-noising, recognition and segmentation. In order to improve the processing ability and recognition accuracy of deformation images, an adaptive image deformity correction algorithm for the quadrilateral and the triangular is proposed. Firstly, the deformation image is pre-processed and the contour of image edge is extracted. And then, discrete points of image edge are found to locate image edge accurately. Finally, the deformation of the quadrilateral or the triangle is processed into standard rectangle or equilateral triangle image by using the proposed algorithm of three-dimensional homography transformation, so as to complete the transformation from irregular image to regular image adaptively. A lot of experiments show that the proposed algorithm is superior to the traditional methods such as Hough transform and Radon transform, which improves the effect of deformation images correction, solves the problem of geometric deformation images well, and provides a new technical method for image processing of deformation images.

No abstract

In the process of image shooting, due to the shooting angle or the shooting reason, the original image has geometric deformation problems in the geometric position, shape, size and orientation, which brings many inconvenience and difficulties to the following image processing fields such as image fusion, image denoising, image recognition, and image edge detection. In order to further improve the image processing ability and recognition accuracy of distorted graphics, this paper proposes a distortion correction algorithm based on block mapping for quadrilateral target images. This algorithm completes the transformation of the image from irregular to regular by dividing the quadrilateral image into two triangle images and performing homography mapping on the pixel points of the triangle image respectively. A large number of experiments show that the algorithm in this paper is superior to traditional methods such as hough and radon transform, and solves the limitations of traditional mapping algorithm in the process of quadrilateral image correction, improves the correction effect of distorted images, and provides a strong support for the subsequent processing of distorted images.