.
-
BIOCHEMISTRY OF FASTING – A REVIEW ON METABOLIC SWITCH AND AUTOPHAGY.
Volume - 13 | Issue-1
-
ONE-POT ENVIRONMENT FRIENDLY SYNTHESIS OF IMINE DERIVATIVE OF FURFURAL AND ASSESSMENT OF ITS ANTIOXIDANT AND ANTIBACTERIAL POTENTIAL
Volume - 13 | Issue-1
-
MODELING AND ANALYSIS OF MEDIA INFLUENCE OF INFORMATION DIFFUSION ON THE SPREAD OF CORONA VIRUS PANDEMIC DISEASE (COVID-19)
Volume - 13 | Issue-1
-
INCIDENCE OF HISTOPATHOLOGICAL FINDINGS IN APPENDECTOMY SPECIMENS IN A TERTIARY CARE HOSPITAL IN TWO-YEAR TIME
Volume - 13 | Issue-1
-
SEVERITY OF URINARY TRACT INFECTION SYMPTOMS AND THE ANTIBIOTIC RESISTANCE IN A TERTIARY CARE CENTRE IN PAKISTAN
Volume - 13 | Issue-1
AN INNOVATIVE METHOD TO ENHANCE THE DISTORTION MEASURE OF IMAGE STEGANOGRAPHY BY DISCRETE COSINE TRANSFORMATION ALGORITHM (DCT) BY COMPARING WITH OPENCV ALGORITHM TO ACHIEVE PEAK SIGNAL TO NOISE RATIO.
Main Article Content
Abstract
Aim: To enhance the distortion measure of encoded images in the process of Image steganography using Discrete Cosine Transformation(DCT) by comparison with the OpenCV Algorithm. Methods and Materials: The two groups are OpenCV (N=10) and Discrete Cosine Transformation (N=10). Gpower is calculated for two different groups, alpha (0.05), power (80%). Results: The distortion is measured based on Peak Signal to Noise Ratio(PSNR) value where the Discrete Cosine Transformation has the Peak Signal to Noise Ratio(PSNR) value as 52. The two algorithms Discrete Cosine Transformation and OpenCV are statistically satisfied with the independent sample T-Test (???? = .001) value (p<0.05) with a confidence level of 95%. Conclusion: Compared to OpenCV Algorithm, the distortion measure seems to be better in Discrete Cosine Transformation.
Article Details
