Abstract: A method for generating a high dynamic range image (HDRI) includes acquiring a first illuminance diagram, generating a second illuminance diagram from the first illuminance diagram by modifying a dynamic range of at least a portion of the first illuminance diagram, and generating the HDRI based on the second illumination diagram. The first illuminance diagram is obtained based on a camera response function and an illuminance logarithm obtained based on a plurality of images having different exposure conditions.

Abstract: A method of adaptive demosaicing of a mosaiced image includes receiving the mosaiced image having a mosaic pattern with a first color, a second color, and a third color, obtaining a noise level index for the mosaiced image, determining whether the noise level index is greater than a threshold value, and, in response to the noise level index being greater than the threshold value, performing an adaptive demosaicing on the mosaiced image to generate an adaptively demosaiced image. The adaptive demosaicing includes interpolating values of a portion of unknown pixels of the first color in a horizontal or vertical direction, interpolating values of a portion of unknown pixels of the second color in a horizontal or vertical direction, and interpolating values of a portion of unknown pixels of the third color in a horizontal or vertical direction.

Abstract: A system for image demosaicing and methods for manufacturing and using same. The image demosaicing system includes a lens, a mosaicing filter, an image sensor array and a processing module. The processing module is configured to perform adaptive demosaicing on a mosaiced image that was generated from sensed light that passed through the lens and mosaicing filter. The method of image demosaicing comprises interpolating values of unknown red, green and blue pixels in a horizontal and vertical direction and adaptively selecting one of the interpolation results for each pixel. The disclosed system and method provide for high quality image processing while operating at various Signal to Noise Ratios (SNRs) and require minimal computational time and overhead.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: A method and an apparatus for adjusting installation flatness of a lens in real time are provided. The method comprises: acquiring an image captured by a camera in real time, where the image comprises at least two groups of testing charts regarding different positions; pre-processing the image to obtain each group of testing charts by separation; calculating and displaying, based on each group of testing charts, a real-time resolution value of a camera photosensitive surface to each group of testing charts in real time; and adjusting the installation angle of the optical axis of the camera lens relative to the camera photosensitive surface in real time based on the real-time resolution value of the camera photosensitive surface to each group of testing charts.

Abstract: A method for generating a high dynamic range image (HDRI) includes acquiring a first illuminance diagram, generating a second illuminance diagram from the first illuminance diagram by modifying a dynamic range of at least a portion of the first illuminance diagram, and generating the HDRI based on the second illumination diagram. The first illuminance diagram is obtained based on a camera response function and an illuminance logarithm obtained based on a plurality of images having different exposure conditions.

Abstract: The present invention provides a method and apparatus for generating a high dynamic range image (HDRI). After acquiring a first illuminance diagram, a base layer and detail layers are extracted from the first illuminance diagram, where the base layer contains low frequency information of the first illuminance diagram and the detail layers contain high frequency information of the first illuminance diagram. The dynamic range of the base layer is then compressed while dynamic ranges of the detail layers remain uncompressed. Further, a second illuminance diagram is generated from the first illuminance diagram by fusing the base layer with the compressed dynamic range and the detail layers, the second illuminance diagram is mapped onto a plurality of preset color channels; and the images on the plurality of preset color channels are fused into the HDRI. Therefore, the detail information in the original illuminance diagram can be preserved.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: A system for image demosaicing and methods for manufacturing and using same. The image demosaicing system includes a lens, a mosaicing filter, an image sensor array and a processing module. The processing module is configured to perform adaptive demosaicing on a mosaiced image that was generated from sensed light that passed through the lens and mosaicing filter. The method of image demosaicing comprises interpolating values of unknown red, green and blue pixels in a horizontal and vertical direction and adaptively selecting one of the interpolation results for each pixel. The disclosed system and method provide for high quality image processing while operating at various Signal to Noise Ratios (SNRs) and require minimal computational time and overhead.

Abstract: The present invention provides a method and apparatus for generating a high dynamic range image (HDRI). After acquiring a first illuminance diagram, a base layer and detail layers are extracted from the first illuminance diagram, where the base layer contains low frequency information of the first illuminance diagram and the detail layers contain high frequency information of the first illuminance diagram. The dynamic range of the base layer is then compressed while dynamic ranges of the detail layers remain uncompressed. Further, a second illuminance diagram is generated from the first illuminance diagram by fusing the base layer with the compressed dynamic range and the detail layers, the second illuminance diagram is mapped onto a plurality of preset color channels; and the images on the plurality of preset color channels are fused into the HDRI. Therefore, the detail information in the original illuminance diagram can be preserved.

Abstract: A method and an apparatus for adjusting installation flatness of a lens in real time are provided. The method comprises: acquiring an image captured by a camera in real time, where the image comprises at least two groups of testing charts regarding different positions; pre-processing the image to obtain each group of testing charts by separation; calculating and displaying, based on each group of testing charts, a real-time resolution value of a camera photosensitive surface to each group of testing charts in real time; and adjusting the installation angle of the optical axis of the camera lens relative to the camera photosensitive surface in real time based on the real-time resolution value of the camera photosensitive surface to each group of testing charts.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.