Nokia Corporation

Nokia Technologies Oy

Microsoft Technology Licensing, LLC

Nokia Mobile Phones Limited

Nokia Technology Gmbh

Petri Nenonen

Ossi Kalevo

Markku Kalevi Vehvilainen

Jaana Parkkinen

Euan Barron

Jarkko Pekkarinen

In one example, digital image frames are accessed, each of the digital image frames having an associated control value for an automatic image capture processing function. A measure of information content change is determined for a current digital image frame relative to at least one previous digital image frame. A measure of information content reliability with respect to the automatic image capture processing function is determined for the current digital image frame. The control value associated with the current digital image frame is corrected based on the determined measure of information content change and the determined measure of information content reliability. A final control value for the automatic image capture processing function is output based on corrected control values for one or more digital image frames.

Adaptive output correction for digital image capture processing

The color distortion of an image caused by improper white balance when illuminated using a dual light source can be alleviated by masking a weighted central area of the image, and then determining an impact metric indicating the combined impact of the brightness and pixel color components for the masked weighted central area.

Colour balance processor

A method, apparatus and computer program product are disclosed to provide improved temporal stabilization of a control algorithm associated with the processing of streaming frames. In the context of a method, the number of immediately preceding consecutive frames during which a filtered value has been greater than a current value of the current frame is determined or the number of immediately preceding, consecutive frames during which the filtered value has been less than the current value of the current frame is determined. The method also includes determining a weight based upon the number of immediately preceding, consecutive frames. The weight is configured to vary in a direct relationship to the number of immediately preceding, consecutive frames. The method also determines a filtered value of a current frame based upon a combination of the weight and the difference between the prior filtered value and the value of the current frame.

Method and apparatus for temporal stabilization of streaming frames

The invention relates to method and system for viewing and enhancing images on the display of a mobile device, which includes the display, memory and a processing means for bit images, and an input device for receiving bit images. A bit image is received and processed to a smaller scale in two stages, using pre-selected scaling algorithms, in which the first scaling produces a bit image of an intermediate size and the second scaling produces a second bit image of the size to be displayed. The bit image to be displayed is enhanced. The second bit image is enhanced using an enhancing chain comprising at least two enhancing algorithms.

Method and system for viewing and enhancing images

Aspects of the invention relate to methods and systems for optimizing contrast of digital images and video. Because of the size limitations placed on cameras and sensors that are part of devices, it is common for images to have poor quality. Different images traditionally require different solutions as they exhibit drastically different features. Aspects allow managed control on limiting the stretching strength of a stretching function, thus maintaining the natural appearance of images, tolerable amount of noise enhancement, and contrast reduction on less desirable parts of the image. Further aspects relate to a stretching function presented as one Look Up Table (LUT), thus allowing fast computations on limited computing devices such as consumer electronic devices.

Contrast optimization of images

A method in a digital image processing chain adjusts for a colour balance. In the method, the subject is imaged by pixels to form value-sets of the colour components, component-specific histograms are formed from the value-sets of the colour components, cumulative histograms are formed from the component-specific histograms, the illumination colour corresponding to at least one colour component is defined from the cumulative histograms, and using target colour and defined illumination colour are defined for at least two colour components, a gain factor adjusts the colour balance. In addition, a corresponding system, equipment, and software means implement the method.

Method and system in a digital image processing chain for adjusting a colour balance, corresponding equipment, and software means for implementing the method

A method and associated device wherein an inverse histogram based pixel mapping step is combined with an edge enhancement step such as unsharp masking. In such an arrangement the inverse histogram based pixel mapping step improves the performance of the unsharp masking step, serving to minimize the enhancement of noise components while desired signal components are sharpened.

Method and apparatus for enhancing a digital image by applying an inverse histogram-based pixel mapping function to pixels of the digital image

The invention relates to adjusting contrast in television pictures and other natural picture sequences. In the method according to the invention, the pictures of the picture sequence are gathered into histograms which are processed in certain fashion in order to improve contrast in the pictures, whereafter there are formed mapping functions on the basis of the processed histograms, and the pixel values of the pictures in the picture sequence are then altered on the basis of said mapping functions. The histograms are processed so that from each class where the magnitude of values surpasses a given, predetermined limit, there are cut off all values surpassing said limit, which are then redistributed in the histogram, to classes nearest to the class under observation. The weighting of the distribution controlling the redistribution of the cut-off values advantageously varies according to the class under observation, so that near the low-value end of the histogram, the values are redistributed mainly to classes with higher values than in the class under observation, and near the high-value end of the histogram, the cut-off values are redistributed mainly to classes with lower values than in the class under observation. In the middle region of the histogram, the values are distributed essentially evenly on both sides of the class under observation. Moreover, the cut-off limit can advantageously be defined to be dependent on the class, so that the limit at the extreme ends of the histogram is lower than in the middle region thereof. By applying this procedure, it is possible to avoid a situation where the picture details are covered under areas that are seen nearly black or nearly white. The thus preprocessed histograms are filtered in an adaptive edge-preserving filter, so that flickering is effectively prevented and at the same time there is avoided a distortion of the pictures successive to the cut-off spots in the picture sequence.

Growing community of inventors

Tampere, Finland

Petri Nenonen