Abstract: A methods and apparatuses for image processing are provided. The method may include acquiring initial image data from an image sensor. The method may further include deconstructing the initial image data in a plurality of image pyramid layers. The method may further include collapsing a first image pyramid layer with a second image pyramid layer in order to create an intermediate layer. The method may further include collapsing the intermediate layer with the subsequent image pyramid layer to create a new intermediate layer and generating the final image based on the new intermediate layer and a last image pyramid layer. A tone-mapping operator is applied to at least one of the intermediate layers.

Abstract: A method and device for image processing, and storage medium are provided. In the method, an initial image I is acquired; a set of m predetermined tone-mapping functions is provided; a pixel I(i) of the initial image is selected; a pixel weight w(i) for the selected pixel I(i) is determined based on pixel information of at least the selected pixel; for each tone-mapping function, a tone-mapping function weight is determined based on the pixel weight; each tone-mapping function is applied to the selected pixel I(i) and weighting the result with the respective tone-mapping function weight; the sum of the weighted result as final pixel I? (i) is determined.

Abstract: A method and device for image processing, and storage medium are provided. In the method, an initial image I is acquired; a pixel I(i) of the initial image is selected; a transfer function ƒ is applied to the pixel I(i) to acquire a transferred pixel ?(i), and the transfer function ƒ is determined on the basis of at least the pixel information of the selected pixel; a predetermined tone-mapping function is applied to the transferred pixel ?(i) to acquire a tone-mapped transferred pixel ??(i); an inverse of the transfer function ƒ?1 is applied to the tone-mapped transferred pixel ??(i) to acquire a tone-mapped final pixel I?(i). Herein, the steps are repeated for a plurality of pixels of the initial image I to generate a final image I?, and for each of the plurality pixels the same tone-mapping function is applied.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for temporally stabilizing White Point (WP) information in an Auto White Balance (AWB) process. The method may include receiving lux level, AWB statistics, and input WP. The method also include generating a histogram of the AWB statistics. The method may also include generating, from the histogram, a confidence value for the input WP. The method may also include determining a major colour count. The method may also include determining a threshold value based on the major colour count and the lux level. The method may also include setting an update state to locked when the confidence value is below the threshold value and otherwise setting it to unlocked. The final WP information is obtained from a previous frame when the update state is locked and otherwise from the input WP information.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for temporally stabilizing White Point (WP) information in an Auto White Balance (AWB) process. The method may include receiving lux level, AWB statistics, and input WP. The method also include generating a histogram of the AWB statistics. The method may also include generating, from the histogram, a confidence value for the input WP. The method may also include determining a major colour count. The method may also include determining a threshold value based on the major colour count and the lux level. The method may also include setting an update state to locked when the confidence value is below the threshold value and otherwise setting it to unlocked. The final WP information is obtained from a previous frame when the update state is locked and otherwise from the input WP information.

Abstract: A methods and apparatuses for image processing are provided. The method may include acquiring initial image data from an image sensor. The method may further include deconstructing the initial image data in a plurality of image pyramid layers. The method may further include collapsing a first image pyramid layer with a second image pyramid layer in order to create an intermediate layer. The method may further include collapsing the intermediate layer with the subsequent image pyramid layer to create a new intermediate layer and generating the final image based on the new intermediate layer and a last image pyramid layer. A tone-mapping operator is applied to at least one of the intermediate layers.

Abstract: Fragments making up an image frame may be defined. Fragment based image analysis may be used to identify depicted objects of interest in particular fragments. Fragments are then assigned to different processing pipes based on the image analysis.

Abstract: Techniques related to spatially adjustable flash exposures for imaging devices are discussed. Such techniques may include adjusting region transparencies of a flash filter panel adjacent to a flash module of the image device based on flash filter panel control parameters and exposing the scene by providing a flash light from the flash module and through the flash filter control panel.

Abstract: Techniques related to spatially adjustable flash exposures for imaging devices are discussed. Such techniques may include adjusting region transparencies of a flash filter panel adjacent to a flash module of the image device based on flash filter panel control parameters and exposing the scene by providing a flash light from the flash module and through the flash filter control panel.

Abstract: An image restoration method includes providing image data (260) including image statistics (230) using a digital camera module. A set of digital camera module characterization parameters is selected from a common dynamic camera configuration file (210) using the image statistics (230). The selected digital camera module characterization parameters are converted to image signal processing parameters and the image data is tuned using the image signal processing parameters for providing a tuned image (270). The method may involve lens shading correction as well adjusting the processing to the characteristics of the image sensor (250).

Abstract: An image restoration method includes providing image data (260) including image statistics (230) using a digital camera module. A set of digital camera module characterization parameters is selected from a common dynamic camera configuration file (210) using the image statistics (230). The selected digital camera module characterization parameters are converted to image signal processing parameters and the image data is tuned using the image signal processing parameters for providing a tuned image (270). The method may involve lens shading correction as well adjusting the processing to the characteristics of the image sensor (250).