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In this paper, a new partition mapping method is adopted in gamut mapping algorithms (GMAs). It takes both color difference (ΔE) and details into account. Meanwhile, lightness variation is regarded more important than ΔE in low lightness area. Subjective experiment shows that observers prefer proposed method than HPMINDE or SGCK in aspect of similarity to original images.

This paper proposes an implementation framework based on local contrast enhancement (LCE). The framework, implemented on Xilinx Kintex‐7 FPGA platform, is lighted on the 55″ Ultra‐High Definition (UHD) LCD panel and shows the result of image contrast enhancement. In accordance with the hardware design concept, the implementation framework adopts the module partition, hardware parallel processing structure and pipeline processing architecture. The hardware implementation fully achieves the real‐time requirements.

A novel method is presented to enhance images using histogram equalization and provide excellent performance on local contrast improvement. The proposal includes multi-scale function to make local LUT (Look-Up Table; LUT) with global information to reduce boundary contour issue, and Gaussian filter is applied to reduce hardware cost. Furthermore, an adaptive parameter adjustment mechanism is also employed to optimize the enhancement performance under various scenes.

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