A low-resolution is displayed at high resolution and power consumption is reduced. Resolution is made higher by super-resolution processing. Then, display is performed with the luminance of a backlight controlled by local dimming after the super resolution processing. By controlling the luminance of the backlight, power consumption can be reduced. Further, by performing the local dimming after the super-resolution processing, accurate display can be performed.

A method and a display driver for compensating the perceptual bias of edge boost when driving a display panel are provided. The method can pre-process an input image to compensate for a perceptual bias of edge boost, e.g., at a contiguous group of color bands in the input image prior to sending the input image in a form of plural frames to a display panel for display. The method includes the steps of partitioning an input image into one or more grayscale regions, segmenting the grayscale regions into a plurality of color bands, detecting a subtle but perceivably significant change of color or luminance between two adjacent color bands, identifying a transition region and performing color dilution on the transition region. The display driver can include an input buffer, an image processor configured to execute the above method and an output buffer.

An image-pickup optical system includes: a first lens provided near an aperture stop and configured to correct aberration; and a second lens arranged between the first lens and an image sensor and configured to collect light, the first lens being a gradient index lens. The degree of freedom of design of a gradient index lens is higher than that of a lens having a constant refractive index, and a gradient index lens thus has a high potential as a device for a lens. Because such a gradient index lens is employed, it is possible to correct aberration without performing expensive processing such as polishing for example. In other words, as a result, costs may be reduced and image-forming properties may not be reduced at the same time.

Contrast adjustment of a digital image can include using at least two signal processing paths to adjust a display-formatted pixel value to enhance the appearance of edges in displayed image data. A digital image can be filtered by producing an edge enhancement factor, ?, per pixel from at least one look up table (LUT). Digital image data can also be adjusted using at least two signal processing paths, where the image data is adjusted if a pixel value and its neighboring pixel values are all within a smoothing range or where the pixel delta value is outside of a bad pixel range and its neighboring pixel delta values are all within the bad pixel range. In such cases, the image data can be adjusted by replacing the pixel value with an average or median value of the neighboring pixels.

An image processing device includes: an acquisition unit configured to acquire image data generated by an imaging element including sharing blocks, each including multiple adjacent pixels configured to generate signals according to amounts of light received externally and one read circuit; an offset calculator configured to, based on the acquired image data and using pixel values of pixels in a sharing block of interest that is one of the multiple sharing blocks and pixel values of pixels outside the sharing block of interest, detect an offset component of a pixel value occurring in the sharing block of interest; and a corrector configured to calculate a correction amount to correct a pixel value of at least one pixel in the sharing block of interest based on the offset component and use the correction amount to correct a pixel value of at least one pixel in the sharing block of interest.

A method for image-based dynamic feature enhancement includes: using the camera to capture multiple images, selecting an ROI from each of the multiple images displayed on the camera through the ROI selection unit, configuring multiple brightness weights to correspond to the ROI, adjusting brightness of the image according to the multiple brightness weights and multiple actual brightness values corresponding to the ROI, and performing a multi-layer progressive sharpening process to adjust multiple actual sharpening parameters of the image through the sharpening adjustment unit. The camera parameters of the camera can be directly and instantly adjusted to improve brightness and sharpening of images captured by the camera and facilitate advanced driver assistance system to clearly identify road conditions.

An image processing apparatus performs image processing on image data including blinking defective noise generated by an image sensor including pixels configured to generate a signal, and readout circuits configured to read out the signal as a pixel value. The image processing apparatus includes: an acquisition unit configured to acquire noise information including position information of a pixel in which there is a possibility that blinking defective noise attributed to the readout circuit occurs; a direction determination unit configured to determine, based on the noise information, and pixel values of neighboring pixels surrounding a pixel of interest in an image corresponding to the image data, a direction in which pixel values having highest correlation with a pixel value of the pixel of interest are consecutively arrayed; and an image processor configured to perform image processing on the image data based on a determination result.

A distance in a scanning direction between a first set of edges which face each other and exhibit an opposite change between light and dark is measured by an image measuring machine, and a bias correction value is calculated based on a difference between a measured value and a true value. Using the bias correction value, detection point correction values, which are correction values in various directions of edge detection points detected by a scan of a measured object using the image measuring machine, are calculated; a correction amount used in correction of the edge detection points is specified based on the detection point correction value in each direction; and the edge detection points are corrected using the correction amount.

An image processing method includes the steps of acquiring a captured image generated through image capturing using an optical system, performing first shaping processing so as to reduce a difference between a maximum value and a non-maximum value for data generated using information of a point spread function of the optical system corresponding to an image capturing condition of the captured image, performing rotating processing according to a position of the captured image for the data after the first shaping processing, and performing sharpening processing of the captured image using the data after the rotating processing.

A low-resolution is displayed at high resolution and power consumption is reduced. Resolution is made higher by super-resolution processing. Then, display is performed with the luminance of a backlight controlled by local dimming after the super resolution processing. By controlling the luminance of the backlight, power consumption can be reduced. Further, by performing the local dimming after the super-resolution processing, accurate display can be performed.