[PDF] Top 20 IMAGE SUPER RESOLUTION RECONSTRUCTION TECHNIQUES-A SURVEY

... various super resolution techniques that is used to enhance the resolution from the under sampled LR ...on super-resolution image reconstruction mainly consider ... See full document

... use Super-Resolution technique for the image enhancement. Image enhancement refers to producing a high quality ...– image registration, restoration, and ...in image enhancement ... See full document

... two reconstruction methods are used for reconstruct SR image from LR image sequences and two types of noises is ...LR image sequence in the experiment is taken from the original HR MRI brain ... See full document

... single image super resolution (SR) is ...low resolution (LR) images and desired high resolution (HR) image as multi-scale markov random field ...art techniques for 2 × 2 ... See full document

... to image super resolution recon- struction based on sparse representation, the feature extraction and dimension reduction process of the dictionary training phase is improved, and the conver- gence ... See full document

... upsclaed image and predicted residual image to generate a high resolution ...high resolution image generated at each level of pyramid is then used as an input to the next layer of the ... See full document

... Paper [12] has proposed Contour-Based Video Inpainting. This paper proposes an algorithm for video inpainting when an object is totally damaged. In this framework the background and foreground in the moving object are ... See full document

... for super-resolution reconstruction, and for the first time considered how to solve the prob- lem of image scale-up within the neural network ...an image reconstruction al- ... See full document

... high resolution (HR) image via employing a number of low resolution (LR) images from the same ...the image sensor of the acquisition ...the super-resolution process accurately, ... See full document

... the image energy change ratio between primitive and non-primitive fields during iterative regularization By appropriately locating the turning point where regularization loses its efficacy in distinguishing ... See full document

... of image processing, has a wide range of application in computer vision and computer ...of image interpolation is to Synthetic high-resolution image from low-resolution ...the ... See full document

... To achieve further improvement, Li et al. used a locally adaptive BTV (LABTV) operator for the regularization. All these regularization terms for SR image reconstruction lead to a stable solution, their ... See full document

... motivate super resolution (SR) image and video reconstruction from lower resolution (LR) and possibly blurred ...SR image reconstruction are limited by the assumptions ... See full document

... into super-resolution reconstruction framework has been ...other reconstruction parameters. Normally, selecting optimized blobs for super-resolution reconstructions depends on a ... See full document

... for image recon- struction in microscopy – see Box ...of image features does not preclude further analysis of their spa- tial organisation nor the study of their temporal ...to super-resolve ... See full document

... Existing super resolution methods attempt to reduce the effect of estimation errors and noise in restoration ...Simultaneous Image Registration, Interpolation and Restoration ... See full document

... input image is first de-blocked and then super resolution is ...The super resolution method is categorized into three types ...based, reconstruction based and learning based ... See full document

... state-of-the-art super resolution methods on both text and face ...high resolution images is difficult due to the gradient problem and memory ...low resolution images and progressively adding ... See full document

... Low Resolution (LR) images is so limited that the accuracy of the resulting recognition is very ...Low Resolution (LR) problem forms one of the most challenging issues in ...Recently, ... See full document

... single-image super-resolution algorithm through using a new adaptive gradient magnitude ...preserve image details or sharp edges, while suppressing the ringing, blocking, and blurring ... See full document