Zijian Zhu

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It is known that local filtering-based edge preserving smoothing techniques suffer from halo artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating an edge-aware weighting into an existing guided image filter (GIF) to address the problem. The WGIF inherits advantages of both global and local smoothing filters in the(More)
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need(More)
Many studies have suggested that emotional stimuli orient and engage attention. There is also evidence that animate stimuli, such as those from humans and animals, cause attentional bias. However, categorical and emotional factors are usually mixed, and it is unclear to what extent human context influences attentional allocation. To address this issue, we(More)
In this paper, we propose an intensity mapping function (IMF) based scheme to detect moving objects in a set of low dynamic range (LDR) images with different known exposure times. The objective is to remove ghosting artifacts from the eventual high dynamic range (HDR) image. Our contributions include a bi-directional similarity detection method, an adaptive(More)
It is very challenging to synthesize a ghosting-free high dynamic range (HDR) image using differently exposed low dynamic range (LDR) images with moving objects. To achieve this, an anti-ghosting scheme is required to detect and patch occluded motion regions. In this poster, a new optimization problem is formulated on patching motion regions along a(More)
—It is very challenging to synthesize a high dynamic range (HDR) image by using a set of differently exposed low dynamic range (LDR) images that are captured with moving objects. This is due to the fact that the moving objects cause ghosting artifacts in the synthesized HDR image. To remove these artifacts, an anti-ghost algorithm is necessary for detection(More)
In this paper, we introduce an exposure fusion scheme for differently exposed images with moving objects. The proposed scheme comprises a ghost removal algorithm in a low dynamic range domain and a selectively detail-enhanced exposure fusion algorithm. The proposed ghost removal algorithm includes a bidirectional normalization-based method for the detection(More)
In this paper, a bilateral filter in gradient domain is first proposed. It is then applied to study detail enhancement via multi-light images and noise reduction of differently exposed low dynamic range images. These two applications show that the proposed filter can be applied to extract fine details from a set of images simultaneously and to provide(More)