In this paper, an algorithm is developed to attain information from the dark images and an analysis is sought for the impact of brightness adjustment parameter (α) and color hue (λ) on a single dark image. The algorithm appears quite appealing as the quality of the images become clearer. This algorithm is applied on a single dark image for different values of α and λ and out of resultant twenty four images; medium, high and low quality were selected randomly for mean opinion score. A mean score opinion (MOS) is drawn for a set of processed and unprocessed images and the results gathered shows that the processed image gathers valuable information and appeared clear. Results showed that few parts where no information was being noticed before processing the digital image, now provides information to the subject after processing..
The absence of adequate scientific resources in the area of medical sciences sometimes leads to improper diagnosis of diseases and hence the treatments of such diseases are affected badly. However, with the advancement of technology, the complicacy of various malfunctions inside the human body reduces. Ultrasound imaging is one of the biomedical scanning techniques that let the pathologist make comment reasonably and accurately on the disease or irregularity seen in the scan while low imaging quality lets the diagnosis go wrong. Even a little distortion can route the pathologist away from the main cause of the disease. In this research work, the enhancement of dark ultrasound images has been done. An algorithm is developed using enhancement technique for nonuniform and uniform dark images. Finally, we compared the quality of the processed and unprocessed images. Both ETNUD and mean and median filtering techniques were used for image analysis.
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