The Video Technologies for Medical, cultural, and
social activities prefer 3D visual data rendering and processing.
So 3D videos are captured by any capturing devices, like the
digital cameras are not acceptable all the time due to the lack of
capturing devices or indecent illumination or due to poor weather
surroundings like Low light, rain, fog, mist, etc. reduces the
contrast, thus the videos get degraded. 3D video contrast
enhancement technique is an essential process for upgrading the
quality and information content in the videos. The proposed work
employs a discrete wavelet transform based enhancement
technique with Jut noticeable difference model to improve the
video frames and it is simple and computationally inexpensive.
The application of DWT results in the Low and High-frequency
sub-bands. The low-frequency components that contain the
greatest amount of the information are improved using weighted
threshold histogram equalization(WTHE) with the JND model
algorithm while the high-frequency sub-bands are distortions
and highly affected by noise. The Gaussian high pass filter is
applied to each high-frequency sub-bands to remove the noise.
Besides, enhancement gain control and luminance preservation
are used to acquire the enhanced output video. At the end check
the quality of the degraded video frame, the presented work is
implemented in MATLAB 2018a and evaluated using objective
parameters. Experimental results show that the proposed method
can generate better and agreeable results than 2D videos.
Comparative Study of Medical Image Contrast Enhancement using Discrete Wavelet Transform and Dual Tree Complex Wavelet Transform
