Effect of Contrast and Brightness on Digital Images under Outdoor Conditions

Rajput, Priti

doi:10.9734/air/2014/7968

Cited by 1 publication

(4 citation statements)

References 18 publications

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“…Corresponding to these original images, the processed images are shown in the lower rows. The output images were processed for = 1 and varying , as = 1 gave much better effects as compared to other values as already discussed in [30]. The processed images appeared better than the original one.…”

Section: Resultsmentioning

confidence: 80%

“…Results after ETNUD. From our previous study on the enhancement technique [30], it was concluded that for = 1 and = 0.45, 0.05 the images got enhanced and brightened in the dark area. So, the same values were applied on the diseased ultrasound images and the results were very refined and useful.…”

Section: Resultsmentioning

confidence: 96%

“…Finally, the comparison of the quality of the processed and unprocessed images was drawn. = 0.5 + 0.4 + 0.1 is the modified form of the quality equation = 0.5 + +0.1 used for accessing the quality of images [30,31]. Here, , , and are the normalized brightness parameter, normalized contrast parameter, and sharpness ( Figure 1).…”

Section: Methodsmentioning

confidence: 99%

“…Relatively higher frequencies are used for displaying the images of softer tissue and muscles, of tendons, testes, breasts, and neonatal brains, while lower frequencies are used for deeper objects like pancreas, liver, or gall bladder. Several image enhancement techniques have been purposed by different researchers to enhance the quality of ultrasound images specific to a particular disease [24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Enhancement Technique on Nonuniform and Uniform Ultrasound Images

Lehana

Rajput

Kumari³

et al. 2015

Journal of Computational Engineering

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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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Section: Resultsmentioning

confidence: 80%

Section: Resultsmentioning

confidence: 96%

Section: Methodsmentioning

confidence: 99%