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Noise tolerant local binary pattern operator for efficient texture analysis
A New Robust Digital Image Watermarking Technique Based on Joint DWT-DCT Transformation
- S.A. Kasmani, A. Naghsh-Nilchi
- Computer ScienceThird International Conference on Convergence and…
- 11 November 2008
Results show that the proposed method improved the performance of the watermarking algorithms which are based on the joint of DWT-DCT, as well as higher robustness against common signal processing attacks.
Efficient Image Denoising Method Based on a New Adaptive Wavelet Packet Thresholding Function
- Abdolhossein Fathi, A. Naghsh-Nilchi
- EngineeringIEEE Transactions on Image Processing
- 1 September 2012
Experimental results show that the proposed algorithm, called OLI-Shrink, yields better peak signal noise ratio and superior visual image quality—measured by universal image quality index—compared to standard denoising methods, especially in the presence of high noise intensity.
Automatic vessel network features quantification using local vessel pattern operator
Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation
Robust Digital Image Watermarking Based on Joint DWT-DCT
- Saeed K. Amirgholipour, A. Naghsh-Nilchi
- Computer ScienceJ. Digit. Content Technol. its Appl.
- 30 June 2009
Compared to current watermarking algorithms which are based on the joint of DWT-DCT, proposed system is achieved significantly higher robustness against enhancement and noise addition attacks.
Epilepsy seizure detection using eigen-system spectral estimation and Multiple Layer Perceptron neural network
Cauchy Based Matched Filter for Retinal Vessels Detection
In this paper, a novel matched filter based on a new kernel function with Cauchy distribution is introduced to improve the accuracy of the automatic retinal vessel detection compared with other…
A dictionary learning approach for human sperm heads classification
Exploiting reviewers’ comment histories for sentiment analysis
To use more fine-grained information about the content of a review, the proposed method predicts the overall ratings by aggregating sentence-level scores and the Dempster–Shafer theory of evidence is utilized for score aggregation.