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Articles by V.R. Vijaykumar
Total Records ( 3 ) for V.R. Vijaykumar
  K. Ashok and V.R. Vijaykumar
  Image denoising has an increasing importance in digital image processing as digital images are usually corrupted by different noises during amplification and transmission. Impulse noises are added due to the errors in the transmission channel and sensors in the path. In this study, a new method for the removal of Random Valued Impulse Noise (RVIN) is proposed. The entire process includes noise pixel detection and denoising. corrupted pixels are detected in the four steps and the median filtering is applied for this noisy pixels. In each step noisy pixels are detected based on the pre-defined threshold values and median filtering is applied in each step. Noisy pixels are removed in the successive steps. The simulation results show that the proposed method shows better performance over compared algorithms both in terms of peak signal to noise ratio and mean absolute error.
  A. Kalaiselvi and V.R. Vijaykumar
  This study proposes the rotation, scaling and shift invariant reversible data hiding technique using scale invariant feature transform with embedding in wavelet domain. Also, the content is made secure by encryption using rotation invariant hash key. Rotation, scaling and shift invariant reversible data hiding is implemented using SIFT and embedding is done in wavelet domain and the results are analyzed. The experimental results show that, this scheme provides high embedding capacity with low distortion. Also, it is robust against rotation. The computational complexity of the proposed technique is low and the execution time is short compared to the existing methods like expansion embedding based reversible data hiding, histogram shifting based reversible data hiding and prediction based reversible data hiding.
  K. Ashok and V.R. Vijaykumar
  Image denoising has an increasing importance in digital image processing as digital images are usually corrupted by different noises during amplification and transmission. Impulse noises are added due to the errors in the transmission channel and sensors in the path. In this study, a new method for the removal of Random Valued Impulse Noise (RVIN) is proposed. The entire process includes noise pixel detection and denoising. Corrupted pixels are detected in the four steps and the median filtering is applied for this noisy pixels. In each step, noisy pixels are detected based on the pre-defined threshold values and median filtering is applied in each step. Noisy pixels are removed in the successive steps. The simulation results show that the proposed method shows better performance over compared algorithms both in terms of peak signal to noise ratio and mean absolute error.
 
 
 
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