Abstract:
The processing on noisy images is quite a difficult task, whether they are to be segmented
or recolored. If the noisy images are lit by multiple illuminants, the issue of processing
such images is more tough. It also results in decreased visibility and appearance of the
images resulting in hiding the significant details of the image. For this purpose, a simple and
effective image recoloring approach is proposed for smooth images and images that have
been corrupted with gaussian noise. Moreover, these images are lit by two illuminants.
The proposed technique utilizes the concept of intrinsic image decomposition. Decomposing
an image like this has taken a spike in the existing years. It applications include
object segmentation, object recognition, color constancy algorithms and various other tasks.
In image editing, recoloring plays an important role. There is a very simple work done on
recoloring in which objects with only some white light on them are recolored and other
illuminants are ignored. Multiple illuminants will be taken into account here.
The image is processed in three parts in the proposed technique. First of all, image is divided
into two parts i.e. structure and texture. Then, recoloring is done using modified multi
illuminant dichromatic model on the structure part. This recolored image is then combined
with texture of original image. Lastly, noise removal methods such as bilateral filter and others
are applied on different part of the image. Modified sharpening and contrast adjustment
technique is applied at the end of the image for visually pleasing results.
Experiments done on images have yielded accurate results using this framework. Better
recoloring and plausible illuminant estimation has been achieved than previous approaches.
The image shows results in desired and highly effective way.
