منابع مشابه
Semantic-Aware Image Smoothing
Structure-preserving image smoothing aims to extract semantically meaningful image structure from texture, which is one of the fundamental problems in computer vision and graphics. However, it is still not clear how to define this concept. On the other hand, semantic image labeling has achieved significant progress recently and has been widely used in many computer vision tasks. In this paper, ...
متن کاملImage smoothing via L0 gradient minimization
We present a new image editing method, particularly effective for sharpening major edges by increasing the steepness of transition while eliminating a manageable degree of low-amplitude structures. The seemingly contradictive effect is achieved in an optimization framework making use of L0 gradient minimization, which can globally control how many non-zero gradients are resulted in to approxima...
متن کاملObject-aware Gradient-Domain Image Compositing
We describe an approach to suppress bleeding artifacts without altering the boundary location in gradient-domain compositing, a technique to create seamless composites. While gradient-domain compositing has become a standard tool for many complex image editing tasks such as seamless cloning, panorama stitching or scene completion, its quality suffers from mismatches in the composited image regi...
متن کاملImproved L0 Gradient Minimization with L1 Fidelity for Image Smoothing
Edge-preserving image smoothing is one of the fundamental tasks in the field of computer graphics and computer vision. Recently, L0 gradient minimization (LGM) has been proposed for this purpose. In contrast to the total variation (TV) model which employs the L1 norm of the image gradient, the LGM model adopts the L0 norm and yields much better results for the piecewise constant image. However,...
متن کاملStochastic Analysis of Image Acquisition, Interpolation and Scale-space Smoothing
In the high-level operations of computer vision it is taken for granted that image features have been reliably detected. This paper addresses the problem of feature extraction by scale-space methods. There has been a strong development in scale-space theory and its applications to low-level vision in the last couple of years. Scale-space theory for continuous signals is on a firm theoretical ba...
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 Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2953550