We present Convolutional Mean (CM) – a simple and fast convolutional neural network for illuminant estimation. Our proposed method only requires a small neural network model (1.1K parameters) and a 48 × 32 thumbnail input image. Our unoptimized Python implementation takes 1 ms/image, which is arguably 3-3750× faster than the current leading solutions with similar accuracy. Using two public datasets, we show that our proposed light-weight method offers accuracy comparable to the current leading methods’ (which consist of thousands/millions of parameters) across several measures.
|Title of host publication||British Machine Vision Conference (BMVC) 2019|
|Publication status||Published - Sep 2019|
|Event||British Machine Vision Conference - |
Duration: 9 Sep 2019 → 12 Sep 2019
|Conference||British Machine Vision Conference|
|Period||9/09/19 → 12/09/19|
- illuminant estimation