[PDF] Top 20 Image similarity using sparse representation and compression distance

... new image encoder is proposed based on the finite context model and preliminary results on a face database are provided ...measure image similarity ...video compression which performs ... See full document

... structural similarity (SSIM) [44], and feature similarity (FSIM) [45] of the reconstructed HR images in Table 1 and Table ...the image is determined to be 255, the PSNR is only related to the squared ... See full document

... Abstract: Local area within a normal natural image can be thought as a stationary process. This can be modelled well using autoregressive models. In this paper, a set of autoregressive models will be ... See full document

... Given a new fingerprint, slice it into square patches which have the same size with the training patches. The size of the patches has a direct impact on the compression efficiency. The algorithm becomes more ... See full document

... face image retrieval technique is shown in Figure ...query image and preprocessing such as face detection, 66 landmark detection and face alignment are done for the query face ...face image such as ... See full document

... applications. Compression of data is commanding of under umstances due to large amount of data transmission and efficient memory ...fingerprint compression algorithm using sparse ... See full document

... on sparse representation. In this paper, two measure similarity methods, ...and similarity based on max, are proposed for comparing the similarity between the target patch and the all ... See full document

... ABSTRACT: This project, combines the left and right palm print images to identify the accurate personal identification. The proposed techniques can integrate three kinds of scores generated from the left and right palm ... See full document

... Sparse coding is a technique of finding a sparse representation for a signal with a small number of nonzero or significant coefficients corresponding to the atoms in a ...in sparse coding ... See full document

... traditional image compression processing, orthogonal transformation method is used, such as Discrete Cosine Transform (DCT) and Discrete Wavelet Transform ...However, image sparse ... See full document

... typical image most of the visually significant information about an image is concentrated in just few coefficients of ...reconstructed image, better mean square error and better compression ... See full document

... post compression is considered. Fingerprint compression algorithm based on sparse representation is considered in this ...a sparse linear combination of dictionary ... See full document

... the similarity measures is found out using the Mahalonobis distance 22 ...the similarity between the original data and its respective reconstructed data, Mahalonobis distance is ... See full document

... of image compression sparse representation was proposed, and a nonparametric hierarchical Bayes mixed factor model under Dirichle process distribution was established specific to the sparsity ... See full document

... There are many members in the wavelet family, a few of them that are generally found to be more useful, are as per the following Haar wavelet is one of the oldest and simplest wavelet. Therefore, any discussion of ... See full document

... the image gradient , to stop the curve evolution, these models can detect only objects with edges defined by ...the image is very noisy, then the isotropic smoothing Gaussian has to be strong, which will ... See full document

... test image as one of the k ...a sparse vector, ...desired sparse solution. Recent results state that if the desired x is sparse enough, it can be recovered by minimizing the L1 ...explained ... See full document

... the image content is therefore ...many image compression algorithms are ...shortest distance between source and destination for transmission in an network, compress the image ... See full document

... the sparse representation have some false ...SAR image, the amplitude and intensity information of the pixel are more important in the target detection process, which is the main reason for the leak ... See full document

... 4. Defense surveillance – Aerial surveillance methods are used to continuously keep an eye on the land and oceans. This application is also used to locate the types and formation of naval vessels of the ocean surface. ... See full document