In this paper we propose a new general histogram modification framework for contrast enhancement. The proposed model works with a hybrid transformation technique to improve image brightness and contrast based on an optional histogram matching in terms of reassigned probability distribution and Sshaped transfer mapping. Experimental results conducted on natural, dimmed, and tone-mapped images show that the proposed technique creates enhanced images efficiently with equivalent or superior visual quality to those produced by classical and stateof-the-art enhancement approaches.