Visual Quality for both Images and Display of Systems by Visual Enhancement under Low - Backlight

Visual enhancement techniques provide different approaches for improving visual quality of displays under Low backlight conditions for saving the battery. The existing techniques provide the visual quality may be for noise free images only. This method proposes an algorithm that provides the visual quality for both images and display of systems even the images are corrupted with the noise under low backlight. This method first proposes a median filter for removing the impulse noise which is the salt and pepper noise. Then using dilation method of morphological operations for providing better growth or thickness of images so that if any breaks in a image it will be repaired. Then designing a linear spatial filter which is the laplacian operator for sharpening of the image used to enhance the details of an image that has been blurred. After that constrained L0 gradient image decomposition is used for separation of base layer and detail layer, and also medianpreserving gamma correction is used to alter the output levels of a monitor and a JND-based Boosting for detail enhancement. Experimental results show that this approach performs better than the existing methods.