Abstract
Histogram equalization is the common methods used for improving contrast in image processing application. But this technique is not well suited for implementation in consumer electronics such as television as it introduces unnecessary visual deterioration such as the saturation effect. It causes changes in the brightness of the input image. Thus, for the implementation of contrast enhancement it should be able to maintain the original input brightness in the output image. By adapting the input histogram, input brightness can be preserved. The adapted histogram can then be accumulated to map input pixels to output pixels. By introducing designed penalty terms, the level of contrast enhancement can be adjusted. Thus it is possible to generate a modified histogram which is closer to uniform histogram. Experimental results show a comparison of various quantitative measurements.
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Thomas, L., Santhi, K. (2011). A Histogram Adaptation for Contrast Enhancement. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_22
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DOI: https://doi.org/10.1007/978-3-642-22720-2_22
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