… Exposure fusion: A simple and practical alternative to high dynamic range photography. …
Exposure fusion: A simple and practical alternative to high dynamic range photography. In …

… High dynamic range (HDR) imaging is one of the most widely used computational photography
… Exposure fusion: A simple and practical alternative to high dynamic range photography. …

… image (LR-HSI) aims at reconstructing high resolution spatial-spectral information of the
scene. Existing methods mostly based on spectral unmixing and sparse representation … higher-…

… representation has fewer dimensions than the raw pixels but always a fixed size, whereas
our sparse representation has a dynamic size depending on the content. VQ-VAE2 uses a …

… Song et al. applied dictionary learning and sparse coding theory to perform HSI denoising
[6… ary for image SR and introduced a total variation (TV) regularizer into sparse coding to …

… The dynamic range of many real-world environments exceeds the capabilities of current …
systems that are capable of displaying images with a dynamic range much more similar to that …

… 3 are based on convolutional sparse representation (or convolutional sparse coding), which
uses trained dictionaries to obtain sparse representations of the source images. However, …

… domain learning (SDL), where the spectral representations are sparsely presented in the …
sparse representation for dual-camera compressive hyperspectral imaging. TPAMI, 2016. 2 …

… We recover a high dynamic range neural radiance field from (a) … -free high dynamic range
imaging. In IEEE Conf. Comput. … Robust artifactfree high dynamic range imaging of dynamic …

… This solution can also potentially increase the dynamic range of the … sparse coding and
low-rank models has recently been made in [89]. It is worth noting that, as opposed to images, in …