STM Article Repository

With the rise of portable digital devices, multimedia applications have seen significant developments in recent years. The need for 3D technology has grown in tandem with improvements in multimedia applications. The most serious problem with two-dimensional to three-dimensional image conversion is poor image quality and the increasing time complexity. Pre-processing techniques on the noisy, blurred texture image with poor resolution can improve visual perception by removing spectral and spatial difficulties. The paper, explains the enhancement schemes problems. The paper describes enhancement approaches that leverage Discrete Wavelets and Stationery Wavelet Transforms as preprocessing tools, as well as various interpolation techniques. An Improved Simple Linear Iterative Clustering (ISLIC) approach with Statistical Region Merging (SRM) is proposed for 3D conversion. Gaussian smoothing with the color uniformity concept is used to maintain image quality. To reduce the temporal complexity in the suggested work, a Depth Image Based Rendering (DIBR) method is used to generate a 3D image from the given input. This work's performance analysis was compared to that of existing approaches and determined to be more efficient. The objective of the study, analysis and implementation of this work is to develop a system that can estimate the growth and depth of any malicious entity within the human body.