The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Low resolution severely degrades the detail of face images, while bad illumination condition further increases the difficulty of face recognition. In this paper, we present a new differential images based face recognition approach to deal with low resolution and variable illumination problems. Firstly, we resort to down-sampling and interpolation to build differential image database. Then feature...
A face hallucination scheme based on independent residual features (IRFs) is proposed in this paper. In the proposed scheme, a high-resolution (HR) face image is assumed as composition of two parts: an approximate and a residual image, where the approximate image is obtained by interpolating the corresponding low-resolution (LR) face image. According to this assumption, a residual image training database...
Image registration is an important task in the field of computer vision and pattern recognition. In this paper, we propose a robust sub-pixel registration algorithm which is based on multi-resolution and new edge detection interpolation method. After applying truncated window function to the images to be registration, the low-pass bands of the wavelet decomposition are applied to build the image pyramid...
Blind super-resolution, which incorporates blur identification into super-resolution, has been proposed to restore the degraded image with either partially known or totally unknown blur. In the conventional framework for blind super-resolution, the sensor PSF caused by camera lens/CCD has always been ignored. Therefore, the identified blur and restored HR image are affected by the sensor PSF, especially...
In this paper, a kind of super-resolution image fusion algorithm is proposed to regularize the distortion of the reconstructed high-resolution (HR) image caused by the inaccurate image registration and the observation noise. For this purpose, the registration error, caused by inaccurate image registration, is considered as the noise mean added in the observation noise known as additive white Gaussian...
In this paper, a kind of blind image super-resolution algorithm is proposed, in which error-parameter-analysis (EPA) is combined with the searching method to identify parameterized blur function and a regularized super-resolution (SR) image restoration algorithm simultaneously considering signal-to-noise ratio (SNR) and displaced frame differential (DFD) is proposed to restore high-resolution (HR)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.