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Objective: Conventional mammogram enhancement methods use transform-domain filtering, which possibly produce some artifacts or not well highlight all local details in images. This paper presents a new enhancement method based on intuitionistic fuzzy sets. Methods: The presented algorithm initially separates a mammogram via a global threshold and then fuzzifies the image utilizing the intuitionistic...
The emerging high efficient video coding (HEVC) standard adopts quad-tree structure to partition the coding unit (CU) which is flexible and efficient. However, it causes enormous computational complexity. In this paper, a fast CU partitioning algorithm in the inter prediction of HEVC is proposed. Firstly, based on the visual saliency map detection, a fast CU partitioning depth prediction algorithm...
In this paper, a saliency aware fast intra coding algorithm for HEVC is proposed consists of perceptual intra coding and fast intra prediction mode decision algorithm. Firstly, based on the visual saliency detection, an adaptive CU splitting method is proposed to reduce intra encoding complexity. Furthermore, quantization parameter is adaptively adjusted at the CU level according to the relative importance...
Perceptual video coding has the potential to provide the same visual quality at a lower bit-rate, compared with the traditional objective quality based scheme. Visual saliency represents the probability of human attention over frames, and it is used for allocating coding bits or controlling visual quality. In this paper, a HEVC compliant perceptual video coding scheme is proposed based on visual saliency...
In this paper, classical approaches such as maximum combinations (combMAX), sum combinations (comb-SUM) and the product of the maximum and a non-zero number (combMNZ) were employed and the trade-off between two fusion effects (chorus and dark horse effects) was studied based on the sum of n maximums. Various normalization strategies were tried out. The fusion algorithms are evaluated using the best...
In this paper we show how grid computing can be used to improve the operation of a medical image search system. The paper introduces the basic principles of a content-based image retrieval (CBIR) system and identifies the computationally challenging tasks in the system. For the computationally challenging tasks an efficient design is proposed that uses distributed grid computing to carry out the image...
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