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- W3198366917 abstract "Digital image processing and recognition is one of the most intensively developed areas of research. Computer image processing involves processing digital images using computers or specialized devices built on digital signal processors. This article discusses the various orthogonal matrices used in the strip transformation, and compares them based on the metric and visual comparison of the reconstructed images with different frequency characteristics obtained using them. The advantage of the strip method is that due to the linear combination of all fragments of the source signal or image, each fragment of the transmitted signal contains information about all other fragments. This allows you to restore the entire signal or image with the least distortion, while losing a certain number of fragments. The Matlab application is used to perform calculations and mathematical operations. The functionality of the application made it possible to produce orthogonal transformation with a digital image, and calculate relevant metrics, such as average module L1 deviation, standard deviation L2 module, module maximum deflection and PSNR. In this work, the following matrices were used: Hadamard 2n, Hadamard p + 1, Slant, Discrete Cosine Transform, Haar, Conference, S-Matrix. The described strip method based on a two-way matrix transformation of a two-dimensional image can be useful for cryptography, steganography, and other applications." @default.
- W3198366917 created "2021-09-13" @default.
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- W3198366917 date "2021-08-15" @default.
- W3198366917 modified "2023-09-26" @default.
- W3198366917 title "COMPARATIVE ANALYSIS OF THE RESULTS OF IMAGE RECOVERY BASED ON THE STRIP METHOD USING VARIOUS MATRICES" @default.
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