Запропоновано алгоритмічні та програмні засоби опрацювання зображень в операційній системі Mac OS X. Забезпечено можливість коригування колірних характеристик зображення, змінюючи контрастність, чіткість, насиченість тіней, інтенсивність теплих відтінків, а також усунення ефекту червоних очей. Показані результати тестування запропонованих засобів, які підтверджують їх ефективність.
Стосовно зображень розроблено модифікації алгоритму RSA такі, що зберігається криптографічна стійкість і забезпечується повна зашумленість зображення, з метою унеможливити використання методів візуальної обробки зображень.
For images modified RSA algorithm is developed such that stored cryptographic and secured full noisy image in order to prevent the use of methods of visual imaging.
This article examines the features of algorithmic and software tools for processing fuzzy images. The work uses three filters: CIGaussianBlur, CIUnsharpMask and CIBlendWithAlphaMask. The described filters allow you to improve image quality, reduce noise and reproduce details.The initial task is to process the blurring of images. For this, the CIGaussianBlur filter is used, which applies a Gaussian blur to the image. This blur reduces high-frequency noise and adds smoothness to the contours of objects.The second filter, CIUnsharpMask, is used to restore image details.
Contrast enhancement is a technique for increasing the contrast of an image to obtain better image quality. As many existing contrast enhancement algorithms typically add too much contrast to an image, maintaining visual quality should be considered as a part of enhancing image contrast.
The cyber-physical systems take the major part of any system that help users to interact with environment processes.
Cyber-physical systems are intelligent systems, which include networks of physical and computing components that interact on internal level. The basis for the development of various models of cyber-physical systems are the using of measuring instruments and their software. Measuring instruments are necessary to control technological parameters processes and the environment.
The aim of the work is to develop an automated measuring system in a mechanical gyrocompass with the help of specially developed hardware and software in order to facilitate the operation of the device and minimize observer errors. The developed complex provides automation only for the time method, as for the method of the turning point it is necessary to constantly contact the motion screw of the total station. The project is based on an integrated system, the hardware part of which contains a single-board computer, camera, and lens.
In the research a method for segmentation of partially-blurred images using the wavelet transformation, particularly coiflet of the order L=3 is presented. The entropy is used as a segmentation criterion based on wallet transformation. K-means method is used for image segmentation. Developed method was tested and has shown good results of his work; it correctly performs more than 82 % of pixels of image, and in many individual cases, more than 90 %.