Digital Processing - Invensis
Digital Processing modifies the pictures by restoring or enhancing them
, involves analysis and recognition while changing their structure in terms of composition and image editing. There are various means to do the above mentioned i e the image processing could be done either by photographic, optical or by electronic means, however it is noticed that the image processing done by the digital devices are proved more flexible, precise, outstanding and fast.
We will be able to get an effective and outstanding image enhancement by improving on the visual quality of the digital images that are captured under extremely low or non-uniform lighting conditions. Image enhancement improves the clarity of the images to a very great extent and helps in the overall output of the image. The removal of the blurring, increase in the contrast etc fall under the image enhancement operations. There could be instances where the original images have the very high or very low intensity that masks the details.
An effective and robust image enhancement algorithm could be then presented for the improvement of the visual quality of digital images captured under extremely low or non-uniform lighting conditions. There are two separate processes. They are the adaptive luminance enhancement and the adaptive contrast enhancement in order to provide flexibility and better control over the image enhancement. Adaptive algorithms adjust their operations based on their image process being processed. Based on the pixel intensity statistics it will be easy to adjust the intensity, contrast and sharpness.
The analysis is based on the other color image enhancement methods, and accordingly the HSV (hue, saturation and value) color space is opted for. There will hardly be any change in the hue in order to avoid any distortion or shifting of the color. When can closely analyze when this is being compared with other algorithms. It has been noticed that there has always been a wide contrast in terms of colour, clarity in details and much better visual effects.
by: Karthik Deepak
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