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Facing two significant challenges for monocular depth estimation under a lightweight network, including the preservation of detail information and the artifact reduction of the predicted depth maps, this paper proposes a self-supervised monocular depth ...

Guided image filter (GIF) is an edge-preserving smoothing operator with low time complexity; However, it does not preserve sharp edges, and therefore exhibits halo artifacts caused by the edge blurring. To address this problem, ...

An improved version of image watermarking method based on regularized filter is proposed in this paper. The proposed method applies the concept of guided image filtering to improve the watermark extraction performance, while preserving the property of ...

Haze has a great impact on the picture clarity, which cannot meetthe needs of high definition image areas. In this paper, image haze removal algorithms are studied, where the haze image are treated and restored using dark channel prior theory. Dark ...

Stereo matching is a key step in stereo vision systems that require high accurate depth information and real-time processing of high definition image streams. This work presents a high-accuracy hardware implementation for the stereo matching based on ...

This paper presents a new method called depth from defocus (DFD) to obtain the image depth from a single still image. The traditional approaches always depend on the local features which are insufficient for estimation or need multiple images that cause ...

In this paper we propose a novel explicit image filter called guided depth image filter for natural image matting. Different from the traditional matting model, the guided image filter computes the filtering output by considering the content of a depth ...

In this paper, we propose a novel method for solving range image super resolution problem. Given a low resolution range image as input, we recover a high resolution range image using a registered and potentially high resolution camera image of the same ...

Sharpness enhancement and noise reduction play crucial roles in computer vision and image processing. The problem is to enhance the appearance and reduce the noise of the digital images without causing halo artifacts. In this paper, we propose an ...