Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization
نویسندگان
چکیده
منابع مشابه
Light Field Super-Resolution Via Graph-Based Regularization
Light field cameras can capture the 3D information in a scene with a single shot. This special feature makes light field cameras very appealing for a variety of applications: from the popular post-capture refocus, to depth estimation and imagebased rendering. However, light field cameras suffer by design from strong limitations in their spatial resolution, which should therefore be augmented by...
متن کاملRobust Fuzzy Content Based Regularization Technique in Super Resolution Imaging
Super-resolution (SR) aims to overcome the ill-posed conditions of image acquisition. SR facilitates scene recognition from low-resolution image(s). Generally assumes that high and low resolution images share similar intrinsic geometries. Various approaches have tried to aggregate the informative details of multiple low-resolution images into a high-resolution one. In this paper, we present a n...
متن کاملImaging-Consistent Super-Resolution
This paper introduces two algorithms for enhancing image resolution from an image sequence. The “image-based” approach presumes that the images were taken under the same illumination conditions and uses the intensity information provided by the image sequence to construct the high-resolution image. This ideal, however, is almost always not true when the illumination varies. The “edge-based” app...
متن کاملRobust Super-Resolution without Regularization
Super-resolution restoration is the problem of restoring a high-resolution scene from multiple degraded low-resolution images under motion. Due to imaging blur and noise, this problem is ill-posed. Additional constraints such as smoothness of the solution (i.e. regularization) is often required to obtain a stable solution. While regularizing the cost function is a standard practice in image res...
متن کاملSuper-Resolution with Adaptive Regularization
Multi-channel super-resolution is a means of recovering high frequency information b y trading o f f the temporal bandwidth. Almost all the methods proposed in the literature are based on optimizing a cost function. But since the problem is usually ill-posed, one needs to impose some regularity constraints. However, regularity constraints tend to attenuate high frequency contents of data (usual...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2018
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2828983