To speed the development of novel camera architectures we proposed a method, L (Local, Linear and Learned), that automatically creates an optimized image processing pipeline. The L method assigns each sensor pixel into one of 400 classes, and applies class-dependent local linear transforms that map the sensor data from a pixel and its neighbors into the target output (e.g., CIE XYZ rendered und...

This paper describes a database collecting natural color images, called the Natural Image Database, and shows how it is used for illuminant estimation problems. First, we present significant features of the database. This database is not only a collection of color images of natural scenes, but also includes scene illuminant spectra and camera calibration data. Because these data sets are availa...

The aim of colour constancy is to discount the effect scene illumination from image colours and restore objects as captured under a ‘white’ illuminant. For majority methods, first step estimate illuminant colour. Generally, it assumed that uniform in scene. However, real world scenes have multiple illuminants, like sunlight spot lights all together one We present this paper simple yet very effe...

Knowledge of the scene illuminant spectral power distribution is useful for many imaging applications, such as color image reproduction and automatic algorithms for image database applications. In many applications accurate spectral characterization of the illuminant is impossible because the input device acquires only three spectral samples. In such applications it is sensible to set a more li...

The colours of chromatically homogeneous object surfaces measured by a sensor vary with the illuminant colour used to illuminate the objects. In contrast, colour constancy enables humans to identify the true colours of the surfaces under varying illumination. This paper proposes an adaptive colour constancy algorithm which estimates the illuminant colour from wavelet coefficients at each scale ...

Six different methods for white-balancing digital images were compared in terms of their ability to produce white-balanced colors close to those viewed under a specific viewing illuminant. The six methods were: native camera RGB, XYZ, CAM02, ITU Rec BT.709 RGB, sharpened camera RGB, and illuminant-dependent. 4096 different sets of camera sensitivities were synthesized; 170 objects were evaluate...

Colour Constancy is the ability to perceive colours independently of varying illumination colour. A human could tell that a white t-shirt was indeed white, even under the presence of blue or red illumination. These illuminant colours would actually make the reflectance colour of the t-shirt bluish or reddish. Humans can, to a good extent, see colours constantly. Getting a computer to achieve th...