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In robotic imaging systems, images are often subject to additive Gaussian noise and additive noise in the color components during image acquisition. These distortions can arise from poor illumination, excessive temperatures, or electronic circuit noise. Imaging sensors required to perform real time enhancement of images that is best suited to the human visual system often need parameter selection...
Security images transmitted over network or wireless mediums are subjected to a variety of transmission errors and non-eccentricity pattern noise. Some of these errors are due to hardware limitations that can result in lower quality images caused by quantization noise. Currently, there are no quantitative metrics to evaluate the visual quality of images containing transmission errors based on human...
Today, many security applications rely on imaging sensors. However, the quality of the captured image is highly susceptible to environmental lighting conditions such as poor or non-uniform illumination. Security imaging systems rely on efficient real-time image enhancement. For autonomous systems, determining and producing the best visually enhanced image output as perceived by the human visual system...
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