[PDF] Top 20 Depth Map Super-Resolution for Multi-view Images

... low resolution image is an important concept in many ...satellite images and many more. The content of low resolution image is improved by using content of neighboring high resolution ...High ... See full document

... HR images from a sequence of LR ...the resolution of images/videos, the high memory and com- putational requirements restrict their practical ...LR images whose motion estimation errors were ... See full document

... layered depth image (LDI) [3] using multi-view color and depth images ...all multi-view color and depth data [4], we select multiple reference locations using a ... See full document

... end-to-end multi-scale deep encoder (convolution) and decoder (deconvolution) network for single image super-resolution (SISR) guided by phase congruency (PC) edge ...a multi-scale model by ... See full document

... Super resolution is the process of generate or obtaining a High-Resolution (HR) form a single Low-Resolution (LR) image or a sequence of LR images taken at different ...multiple ... See full document

... per-pixel depth represented as gray-scale image ...the depth map plays a crucial role as it determines the quality of the rendered ...received depth map, the compression artifacts are ... 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

... a resolution enhancement approach has been one of the most active research areas, and it is called super resolution (SR) or High resolution image reconstruction or simply resolution ... See full document

... Multiframe super-resolution (SR) is a post processing technique designed to reduce aliasing and enhance re- solution for detector-limited imaging systems ...low- resolution (LR) frames with a common ... See full document

... high resolution or high contrast images are needed for medical imaging ...called super-resolution to improve the quality of image [2]. Super resolution methods are categorized ... See full document

... of multi-frame image ...LR images with the unknown reconstructed HR image estimates, and we apply bilateral total variation (BTV) operator as a regularization term and measured by L1 ...the ... See full document

... high resolution image from low resolution images, But it is sensitiveto small disturbances, such as noise or errors in the estimation of the imaging ...LR images is less than the square of ... See full document

... many super resolution algorithms are proposed based on image or 2D video systems, however, few of them are based on 3D ...in depth, the SR methods designed for 3D video can reach better results than ... See full document

... Super resolution is the process of creating a high resolution (HR) image from multiple low resolution (LR) frames of an input sequence ...high resolution image has not only high pixel ... See full document

... The interpolation-based SR [6] is considered as a set of basic and simple methods. These techniques are used to estimate the unknown pixels and to obtain a high resolution image. The reconstruction-based SR [7], ... See full document

... synthetic images, the F-stop setting of the camera was altered to produce a lower quality ...real images that have been affected by ...low resolution images were taken with F-stops of F9 and ... See full document

... In our proposed method we are using cascading approach in which the input image is first de-blocked and then super resolution is performed. The super resolution method is categorized into ... See full document

... low resolution images using a computational process know as super resolution ...reconstruction. Multi-frame super resolution reconstruction is the process of combining ... See full document

... characteristics of temporal and inter-view prediction. In general, the performance of temporal prediction is superior to inter-view prediction, because inter-view prediction has inherent ... See full document

... Our algorithm works best on images with strong fre- quency content in certain directions (Figures 10(a) and 10(b)). In that case, our algorithm outperforms all other al- gorithms including the spatial domain ... See full document