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In this paper, we propose a no reference image quality assessment (NR-IQA) algorithm based on distortion identification (DI) and multi-channel label transfer (LT). First, the distortion type classification is used to obtain the query image's probabilities of belonging to each distortion type. Then, the distortion specific label transfer is implemented in multiple distortion category channels. Based...
Recently, the common objects are often required to be extracted from a group of images in many applications, such as video coding and model training. Co-segmentation is a new and efficient method for this requirement. In realistic applications, we observe that the images usually contain similar backgrounds (namely similar scene co-segmentation), such as the city landmark images collected from the...
This paper proposes a method to segment object with logos. In the method, we firstly locate the logos by SIFT matching. Then, the object boundary is extracted based on the logo location. Finally, we model the object prior based on the boundary, and introduce the prior into Markov random field segmentation method to segment the object. To verify the proposed method, we collect a logo dataset from the...
In this paper, we propose a new co-saliency model to extract co-saliency maps from a pair of images. Rather than using unary constraint matching, we use pairwise constraint graph matching to obtain more accurate co-saliency map. In our method, the co-saliency map consists of two terms, i.e., the single image saliency map and the multiple image saliency map. The single image saliency map is obtained...
In this paper, a new co-segmentation model by incorporating active contours based method and rewarding strategy is represented. We first generate co-segmentation energy function from two aspects. One is foreground similarity between image pairs. The other is background consistency in each single image. Then, we optimize the energy function through a mutual optimization approach. We verify the proposed...
In this paper, a mode dependent deblocking filter is proposed for suppressing the effects of quantization noise. The proposed filter employs Wiener Filter as an in-loop filter which can minimize the mean square error between the original image and the decoded image. In addition, to adapt to different local features of the decoded image efficiently, we design our filter based on the intra mode combination...
In this paper, a new technique is presented for unsupervised change detection in color satellite multi-temporal images. It is accomplished by three stages. First, the color image is modeled into the pure quaternion image. In order to process color image directly, the quaternion mode is introduced, in which the Red, Green and Blue values of each pixel of a color image are represented as single pure...
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