Enhancing underwater images has been a widely discussed topic. To address issues such as color distortion due to wavelength attenuation and brightness/contrast distortion caused by suspended particles, many recent methods have been developed. This paper proposes an underwater image enhancement method that comprehensively considers various degradation factors. In the Lab color space, the paper applies Contrast-Limited Adaptive Histogram Equalization combined with normalization and gamma correction techniques to further optimize the image's brightness and contrast. Linear contrast stretching is also applied to significantly improve the overall contrast, ensuring color fidelity while avoiding over-enhancement. Experimental results demonstrate that this method outperforms six state-of-the-art algorithms across two datasets, leading to significant improvements in visual effects and detail clarity.