This paper presents a novel High Dynamic Range (HDR) tone mapping (TM) system based on sub-band architecture.
Standard wavelet filters of Daubechies, Symlets, Coiflets and Biorthogonal were used to estimate
the proposed system performance in terms of Low Dynamic Range (LDR) image quality and reconstructed
HDR image fidelity. During TM stage, the HDR image is firstly decomposed in sub-bands using symmetrical
analysis-synthesis filter bank. The transform coefficients are then rescaled using a predefined gain map. The
inverse Tone Mapping (iTM) stage is straightforward. Indeed, the LDR image passes through the same sub-band
architecture. But, instead of reducing the dynamic range, the LDR content is boosted to an HDR representation.
Moreover, in our TM sheme, we included an optimization module to select the gain map components that
minimize the reconstruction error, and consequently resulting in high fidelity HDR content. Comparisons with
recent state-of-the-art methods have shown that our method provides better results in terms of visual quality
and HDR reconstruction fidelity using objective and subjective evaluations.