In this paper, a pivotal technique was proposed that
reduces the haze and combines the haze free image to increase the
Field of View (FoV) in real-time with a rapid prototype hardware
device. The Initial focus is to reduce the haze in an image with
Dark Channel Prior Technique and the FSD method is utilized to
mosaic the haze free images. Low contrast may occur due to the
scattering light, air particles or fog in nature which results in a
haze image that needs to be reduced and enhance the image for
better vicinity. Haze reduction approach depends on entropy and
information fidelity. Our Haze free algorithm executes multiple
phases such as dark channel prior computation, estimation and
refinement of transmission map and restoration of RGB values.
The second technique is the mosaic process that improves the field
of view of a scene and the phases that execute are corner
detection, extraction, geometric computation and blending. Our
experimental results have shown better when compared to the
other algorithms. The whole process is executed in real-time with
a standalone device called Intel compute stick.
A Real-Time Haze Removal & Mosaicing using Rapid Prototype Hardware
