[PDF] Top 20 ISAR HRRP Super Resolution Reconstruction Based on Couple Dictionary Learning

... In this paper, an ISAR super-resolution imaging algorithm based on joint dictionary learning is proposed, which means we find two special sets of sparse signals from numerous high and lo[r] ... See full document

... patch- based methods increases with the number of ...a super-resolution (SR) cardiac MR image from a single short axis (SA) [4] cardiac MR image with a set of 3D atlases available as the training ... See full document

... We also tested other dictionary model selection approaches which can reduce the computational cost. One approach that we used during the testing phase of the proposed algorithm for cluster selection was only the ... See full document

... and dictionary size of 400 ato ...successful reconstruction as shown in ...and reconstruction took approximately 2 seconds on a ...patch- based reconstruction algorith m produces ... See full document

... image super-resolution ...image super-resolution methods such as image interpolation, the super-resolution with sparse representation reconstructs image with one or several ... See full document

... is based on single-image super resolution, which represents the sparse signal ...over-complete dictionary [2], [7]. Learning an over-complete dictionary capable of optimally ... See full document

... the dictionary is learned, it is separated into high and low resolution ...low resolution dictionary using K-SVD algorithm, and then learned the high resolution dictionary by MOD ... See full document

... the learning form has been proposed ...of reconstruction type, learning and using information to mitigate the side effect of SISR has enabled the inclusion of many details, such as border and ... See full document

... In this paper, a strategy for super resolution using a dictionary learning method for PET images was proposed. The acquired sinograms were super resolved and reconstructed. Sets of HR ... See full document

... The learning based super-resolution methods are regarded as the most popular and promising methods, which acquire prior knowledge by ...first learning-based super- ... See full document

... image super-resolution(SR) is to construct a high-resolution (HR) from one or more low-resolution (LR) images and additional information such as exemplar images or statistical priors using ... See full document

... high resolution image is beneficial to achieve a better classification of regions in a multi-spectral remote sensing image or to assist radiologist for making diagnosis based on a medical ...image’s ... See full document

... image super resolution based on self-example learning and sparse ...this reconstruction of image : In first step LR image patches are converted in HR patches using ...learn ... See full document

... low resolution images ...the reconstruction is more dependent on the choice of the training samples, and the characteristics of the input image is not ...[8] based and dic- tionary learning ... See full document

... High resolution image is created from landmark images by implementing global registration and ...high resolution image during the final ...high resolution/low resolution ...high ... See full document

... two reconstruction methods are used for reconstruct SR image from LR image sequences and two types of noises is ...3. Based on the two reconstruction methods, the results of super ... See full document

... From the data in Table 6, we can see the images reconstructed by a bigger regulari- zation parameter (5λ) will have larger RMSEs, which means the reconstructed images are influenced by the smoothing effect and fewer ... See full document

... for reconstruction of image. The proposed algorithm is based on Fourier transform which drastically reduces no of ...the super resolved ...for reconstruction of super resolved ... See full document

... image reconstruction lead to a stable solution, their performance depends on optimization technique as well as regularization ...hand, based on TV regularization, Marquina and Osher obtained superior result ... See full document

... SR reconstruction with Gaussian blur and Pepper & Salt noise is ...image reconstruction cases, such as including defocus blur or motion blur, Gaussian noise, ... See full document