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This work presents the use of digital watermarking for applications of automated pigmented skin lesions assessment. Automated skin lesion assessment by digital image processing of macroscopic pigmented skin lesion (MPLS) images uses lesion characteristics for malignant risk computation. The accuracy of the computed risk level is increased when additional information is taken into consideration: age,...
Detailed segmentation of pigmented skin lesions is an important requirement in computer aided applications for melanoma assessment. In particular, accurate segmentation is necessary for image-guided evaluation of skin lesions characteristics. In this paper, we present a new approach of histogram thresholding for detailed segmentation of skin lesions based on histogram analysis of the saturation color...
Digital images have been accepted as evidence in courts of law for a long time. One mandatory aspect for the admission of photographic evidence is the need for authentication. A spontaneous scene is very likely to be photographed with a smartphone rather than a classical camera. Android powered devices count for around 80% of smartphones worldwide. There is a high probability that an image used as...
This paper proposes a new watermarking-based self-recovery system for unauthentic images in the Wavelet domain. The LL wavelet sub-band of the second wavelet decomposition of the original image is used as a recovery watermark and is embedded in the horizontal, vertical and diagonal sub-bands of the first wavelet decomposition using a quantization approach. The algorithm obtains good image quality...
The purpose of this paper is to analyze performances of three subcarrier allocation methods used by orthogonal frequency-division multiple access (OFDMA). In OFDMA, before assigning subcarriers to users, they are first distributed into subchannels using three different subcarrier allocation methods. The results are compared in terms of bit error rate (BER) dependency on signal to noise ratio (SNR),...
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