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Convolutional neural networks (CNNs) have been widely used in image processing community. Image deblocking is a post-processing strategy, which aims to reduce the visually annoying blocking artifacts that are caused by block-based transform coding at low bit rates. In recent years, CNNs based methods have been proposed to solve this classic image processing problem. In this paper, we present an efficient...
With the sharp increasing of mobile devices, conducting search on mobile devices becomes pervasive, and one of the most popular applications is mobile visual search. To achieve low bit-rate visual search, most of the existing works focus on addressing local descriptor coding and BoW histogram compression . In this paper, we extend the concept of image retargeting and propose a new image resizing approach...
This paper presents an effective and simple image resizing method. Our method is an improved version of seam carving that changes the backtracking basis of seam carving. We use a Scale Invariant Feature Transform (SIFT) feature in our method. SIFT key points are mainly located on high-contrast regions of an image. By using saliency considering SIFT as our backtracking basis, a resized image can preserve...
This paper proposes a robust watermarking approach based on Discrete Cosine Transform (DCT) domain that combines Quick Response (QR) Code and chaotic system. When embed the watermark, the high error correction performance and the strong decoding capability of QR Code are utilized to decode the text watermark information which improves the robustness of the watermarking algorithm. Then the QR Code...
This paper proposes a robust watermarking approach based on Discrete Cosine Transform (DCT) domain that combines Quick Response (QR) Code and chaotic system. When embed the watermark, the high error correction performance and the strong decoding capability of QR Code are utilized to decode the text watermark information which improves the robustness of the watermarking algorithm. Then the QR Code...
With the increasing requirement of efficient image retargeting, many algorithms have been proposed for adapting images contents to various display settings. However, most of these algorithms work in spatial domain of raw images. Since images are mostly stored in DCT-based compressed format such as JPEG, it will be very attractive to realize the image retargeting in compressed domain. In this paper,...
Multispectral imaging has attracted much interest in color science area, for its ability in providing much more spectral information than 3-channel color images. Due to the huge data volume, it is necessary to compress multispectral images for efficient transmission. This paper proposes a framework for spectral compression of multispectral image by using cluster-adaptive subspaces representation....
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