Image Reconstruction With Improved Super-Resolution Algorithm
نویسندگان
چکیده
In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and Peleg iterative method, and employs our suggested initial interpolation, robust image registration, automatic image selection and image enhancement post-processing. When the target of reconstruction is a moving object with respect to a stationary camera, high-resolution images can still be reconstructed, whereas previous systems only work well when we move the camera and the displacement of the whole scene is the same.
منابع مشابه
Study on the Super-resolution Reconstruction Algorithm for Remote Sensing Image Based on Compressed Sensing
Image super resolution reconstruction has important significance in remote sensing image feature extraction and classification etc.. Because the remote sensing image size is larger, it is difficult to super resolution reconstruction using multiple images, the compressed sensing (CS) theory was introduced into the super-resolution reconstruction. Algorithm designed the low pass filter to reduce ...
متن کاملImproved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
PURPOSE To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. METHOD Using a super-resolution algorithm, several PET acquisitions were combined to improve the resolution. In addition, functional PET data was smoothed with a hybrid computed tomography algorithm (HCT), in which anatomical edge information taken from the CT was e...
متن کاملBlind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise
To improve the spatial resolution of low resolution image with Gaussian blur and Pepper & salt noise, a blind single-image super resolution reconstruction method is proposed. In the low resolution imaging model, the Gaussian blur, down-sampling, as well as Pepper & Salt noise are all considered. Firstly, the Pepper & Salt noise in the low resolution image is reduced through median filtering met...
متن کاملHyper-Resolution: Image detail reconstruction through parametric edges
Hyper-Resolution, a new technique for super-resolution reconstruction of images, is based on matching lowresolution target image details to their high-resolution counterparts from an image database. Central to the algorithm is a novel transform of image content from the orthogonal pixel space to a parametric space structured around edges. This approach offers improved quality, more flexibility ...
متن کاملStrategies for the Use of Steerable Sub-imager Arrays for Improved Detection of Sparse Structures in Super-resolution Imaging
In recent years research in super-resolution imaging has resulted in improved algorithms and efficient implementations for image reconstruction and image registration from multiple low resolution aliased images. However, a number of problems remain with respect to performance measures and models of noise, measurements, and image sources. As the density of pixels in typical commercial cameras ha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IJPRAI
دوره 18 شماره
صفحات -
تاریخ انتشار 2004