Abstract—This paper gives a novel approach to edge-aware image manipulation. Our method processes a Gaussian pyramid from coarse to fine, and at each level, applies a nonlinear filter bank to the neighborhood of each pixel. Outputs of these spatially-varying filters are merged using global optimization. The optimization problem is solved using an explicit mixed-domain (real space and DCT transform space) solution, which is efficient, accurate, and easy-to-implement. We demonstrate applications of our method to a set of problems including detail and contrast manipulation, HDR compression, non-photorealistic rendering, and haze removal. Index Terms—mixed-domain, edge-aware image processing, optimization-based image processing, multi-scale met...
In this paper, a procedure of edge detection for a high dynamic range image with damaged edge inform...
Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the h...
Edge enhancement is an important image processing method for remote sensing image data. Many images ...
This paper presents a novel approach to edge-aware image manipulation. Our method processes a Gaussi...
ABSTRACT: In Image Processing, a variety of edge-aware image manipulation techniques are used. It ha...
International audienceIn this paper a new approach for blurred image restoration is presented. Our a...
High-dimensional filtering is a key component for many graphics, image, and video processing applica...
(a) input HDR image tone-mapped with a simple gamma curve (details are compressed) (b) our pyramid-b...
Gradient domain methods are popular for image pro-cessing. However, these methods even the edge-pres...
This paper suggests a regularization method for determining scales for edge detection adaptively for...
In this paper a new approach for blurred image restoration is presented. Our algorithm is based on h...
This paper introduces a new approach to edge-preserving smoothing of digital images. It is designed ...
Edge-aware smoothing is an essential tool for computer vision, graphics and photography. In this pap...
International audienceVisual content is often better communicated by simplified or exaggerated images...
Abstract This paper presents a novel framework for efficiently propagating the stroke-based user edi...
In this paper, a procedure of edge detection for a high dynamic range image with damaged edge inform...
Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the h...
Edge enhancement is an important image processing method for remote sensing image data. Many images ...
This paper presents a novel approach to edge-aware image manipulation. Our method processes a Gaussi...
ABSTRACT: In Image Processing, a variety of edge-aware image manipulation techniques are used. It ha...
International audienceIn this paper a new approach for blurred image restoration is presented. Our a...
High-dimensional filtering is a key component for many graphics, image, and video processing applica...
(a) input HDR image tone-mapped with a simple gamma curve (details are compressed) (b) our pyramid-b...
Gradient domain methods are popular for image pro-cessing. However, these methods even the edge-pres...
This paper suggests a regularization method for determining scales for edge detection adaptively for...
In this paper a new approach for blurred image restoration is presented. Our algorithm is based on h...
This paper introduces a new approach to edge-preserving smoothing of digital images. It is designed ...
Edge-aware smoothing is an essential tool for computer vision, graphics and photography. In this pap...
International audienceVisual content is often better communicated by simplified or exaggerated images...
Abstract This paper presents a novel framework for efficiently propagating the stroke-based user edi...
In this paper, a procedure of edge detection for a high dynamic range image with damaged edge inform...
Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the h...
Edge enhancement is an important image processing method for remote sensing image data. Many images ...