@article{image-processing-applications, author = {Shivam Sharma}, title = { Enhanced Image Encryption Technique: A Hybrid Approach using Scrambling and Genetic Encryption}, journal = {Journal of Advanced Research in Image Processing and Applications}, volume = {6}, number = {2}, year = {2023}, keywords = {}, abstract = {Traditional image encryption methods often suffer from security vulnerabilities, image quality degradation, diffusion issues, low latency, poor key sensitivity, and significant correlation. In response, this study proposes an advanced image encryption technique based on a combination of scrambling and discrete wavelet transform. The scrambling process alters the pixel locations without changing their values, preserving statistical properties. The proposed hybrid encryption method incorporates genetic encryption to enhance both image security and quality. The developed approach undergoes rigorous testing against brute force and equivalent key attacks, demonstrating statistical effectiveness, robust performance, and key sensitivity advantages. The results indicate that the hybrid approach meets the criteria for photo security and real-time performance.}, pages = {5--10}, url = {http://www.thejournalshouse.com/index.php/image-pocessing-applications/article/view/961} }