An effective algorithm is proposed to detect copy-move *** this algorithm,first,the patchmatch algorithm is improved by using a reliable order-statistics-based approximate nearest neighbor search algorithm(ROSANNA)to ...
详细信息
An effective algorithm is proposed to detect copy-move *** this algorithm,first,the patchmatch algorithm is improved by using a reliable order-statistics-based approximate nearest neighbor search algorithm(ROSANNA)to modify the propagation ***,fractional quaternion Zernike moments(FrQZMs)are considered to be features extracted from color forged ***,the extracted FrQZMs features are matched by the improved patchmatch *** experimental results on two publicly available datasets(FAU and GRIP datasets)show that the proposed algorithm performs better than the state-of-the-art algorithms not only in objective criteria F-measure value but also in ***,the proposed algorithm is robust to some attacks,such as additive white Gaussian noise,JPEG compression,rotation,and scaling.
Telemedicine is getting a lot of popularity. It is because of the way that the medical images are sent over the Internet to share the restorative state of a patient, making the analysis simple for the medical staff. T...
详细信息
Telemedicine is getting a lot of popularity. It is because of the way that the medical images are sent over the Internet to share the restorative state of a patient, making the analysis simple for the medical staff. There is, however, a good possibility that the contents of a medical image may be altered due to the openness of the Internet. The watermarking techniques are utilised to keep the integrity of medical images intact. These techniques, however, need some additional information (watermark) to be embedded into the medical images, which may deteriorate their visual quality, leading to false diagnosis. In this study, a non-intrusive procedure for verification of the medical images is proposed in which the polar cosine transform is used for feature extraction and the patchmatch algorithm to locate the forged regions. Experimentally, the authors demonstrate that the proposed technique is robust against the noise, blurring, scaling, rotation and JPEG compression.
For cytology, pathology or histology image analysis, whether performed by computer-aided algorithms or human experts, a general issue is to exclude the disturbance caused by noisy objects, especially when appeared wit...
详细信息
ISBN:
(纸本)9781450363143
For cytology, pathology or histology image analysis, whether performed by computer-aided algorithms or human experts, a general issue is to exclude the disturbance caused by noisy objects, especially when appeared with high similarities in shape, color and texture with target cell or tissues. In this paper, we introduce a novel model to reduce such type of noisy objects with large quantity and distribution in the microscope images based on deep learning and hand-craft features. The model experimentally reduces the false positives without effect on objects of interest for cancer detection. Moreover, it also provides much distinct images for human experts for the final diagnosis.
To obtain more reliable localization performance, we propose a new image forgery localization scheme, which fuses the output of two diverse tools, based on PRNU and patchmatch algorithm, respectively. First, tampering...
详细信息
ISBN:
(纸本)9789881563958
To obtain more reliable localization performance, we propose a new image forgery localization scheme, which fuses the output of two diverse tools, based on PRNU and patchmatch algorithm, respectively. First, tampering possibility maps are obtained from each of the two approaches, and then Dempster-Shafer theory of evidence is used as decision fusion strategy to obtain the final localization map. Comparison with single approach shows an improvement in tampering localization accuracy.
暂无评论