Image enhancement with mean brightness preserving using weighted histogram equalization based on Its area ratio
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Image enhancement is one of using in various digital signal processing areas. Advances in microcontrollers, DSP boards and computers have been developed traditional algorithms to improve the quality of the resulting image. This paper aims to present the contrast enhancement using weighted bi-histogram equalisation. In additional, this technique must use two weighted factors which is calculated by the histogram distribution ratio. Likewise, an original image will be equalised by the modification of the probability density function of the gray levels. As the experimental results, the contrasts of resulting images are improved for robot vision, implement, and human perception including absolute mean brightness error (AMBE) limitation.
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