High dynamic source generation provides an effective means of representing physical-world scenes that contain large variations in illumination. While HDR images preserve fine details across both dark and bright regions, their direct visualization is limited by the dynamic source of conventional output producing devices such as LED screens and projector. To address this limitation, adaptive brightness adjustment operators are employed to transform HDR content into visually meaningful low dynamic range images. This work explores an adaptive tone mapping approach that integrates local processing, Retinex-inspired filtering, and hierarchical piecewise mapping techniques for HDR image rendering. HDR radiance images are processed through multiple adaptive brightness adjustments stages to compress luminance values while maintaining perceptual contrast and structural details. The behavior of different tone mapping strategies is examined using a set of representative HDR images, with emphasis on visual consistency and intensity distribution. Experimental observations indicate that the proposed adaptive framework enhances local contrast and detail preservation, resulting in improved visual quality across a wide range of illumination conditions.