This study introduces a new approach for determining the clipping threshold in image enhancement, providing more precise control over enhancement levels. Traditional methods, which derive the clipping threshold from the median or mean of the histogram, often lead to over-enhancement, particularly in darker or brighter regions. To overcome this limitation, we propose a technique that computes the clipping threshold using the quantile value of the entropy curve (EC). The resulting clipped entropy curve (CEC) is then divided into three equal sub-entropy curves (SEC), which are individually equalized to produce the enhanced image. This approach effectively enhances image contrast while minimizing noise amplification and artifact generation. The suggested approach is thoroughly evaluated through both visual and numerical analyses, demonstrating its superior performance in achieving balanced contrast enhancement.