Recent years have seen tremendous advancements in multimedia applications due to the growth of portable digital devices. The development of multimedia applications has coincided with an increase in the need for 3D technologies. Poor image quality and the growing temporal complexity are the two biggest issues with two-dimensional to three-dimensional image conversion. By addressing spectral and spatial challenges, pre-processing techniques on noisy, blurry texture images with low resolution can enhance visual perception. The study describes the issues with the augmentation schemes. In addition to a number of interpolation methods, the paper provides augmentation methods that make use of Discrete Wavelets and Stationery Wavelet Transforms as preprocessing tools. For 3D conversion, an Improved Simple Linear Iterative Clustering (ISLIC) method with Statistical Region Merging (SRM) is suggested.
Author(s) Details:
S. H. Sreeletha,
Karpagam Academy of Higher Education, Coimabatote, Tamil Nadu, India.
M. Abdul Rehman,
Karpagam Academy of Higher Education, Coimabatote, Tamil Nadu, India.
Please see the link here: https://stm.bookpi.org/NRAMCS-V8/article/view/8357
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