Systems and methods for correcting intensity drop-offs due to geometric properties of lenses are provided. In one example, a method includes receiving an input pixel of the image data, the image data acquired using an image sensor. A color component of the input pixel is determined. A gain grid is determined by pointing to the gain grid in external memory. Each of the plurality of grid points is associated with a lens shading gain selected based upon the color of the input pixel. A nearest set of grid points that enclose the input pixel is identified. Further, a lens shading gain is determined by interpolating the lens shading gains associated with each of the set of grid points and is applied to the input pixel.

Methods and an apparatus for locally sharpening a video using a spatial indication of blurring in a video signal are described. A method includes obtaining the spatial indication of blurring associated with the video signal, wherein the spatial indication of blurring is provided to locally adjust the sharpness of a video image of the video signal, the strength of sharpening being locally decreased for blurred area. Another method includes obtaining a video signal, obtaining a spatial indication of blurring, adjusting the sharpness of the video signal using the indication of the blurring, and providing the adjusted video signal for display on a display device. An apparatus includes a tuner that receives a video signal and a processor for obtaining (either from metadata or from video signal processing) a spatial indication of blurring associated with the video signal, a video processor that adjusts the locally sharpness of the video signal using the spatial indication of the blurring, and a display interface that provides the adjusted video signal for display.

A noise-reduction processing device including: a part that calculates an edge strength indicating the edge amount at the pixel of interest based on the pixel of interest and surrounding pixels that surround the pixel of interest; a part that discriminates the edge direction at the pixel of interest; a first filter-processing part that subjects the pixel of interest to smoothing processing along a direction that is based on a direction-discrimination result and outputs a first filter-processing result; a second filter-processing part that subjects the pixel of interest to smoothing processing producing a lower low-pass effect than that of the first filter-processing part and outputs a second filter-processing result and a part that synthesizes the first and second filter-processing results, with the ratio of the first filter-processing result increased as the edge strength becomes higher and the ratio of the second filter-processing result increased as the edge strength becomes lower.

Edge enhancement 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, α, 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.

The disclosure extends to methods, systems, and computer program products for enhancing edges within an image in a light deficient environment, which utilizes knowledge of the expected noise pixel by pixel, to control the strength of the edge enhancement and thereby limit the impact of the enhancement on the perception of noise.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

The resolution of a low-resolution image is made high and a stereoscopic image is displayed. Resolution is made high by super-resolution processing. In this case, the super-resolution processing is performed after edge enhancement processing is performed. Accordingly, a stereoscopic image with high resolution and high quality can be displayed. Alternatively, after image analysis processing is performed, edge enhancement processing and super-resolution processing are concurrently performed. Accordingly, processing time can be shortened.

An interlaced video signal can include content of different types, such as interlaced content and progressive content. The progressive content may have different cadences according to the ratio between the frame rate of the progressive content and the field rate of the interlaced video signal. Cadence analysis is performed to identify the cadence of the video signal and/or to determine field pairings when progressive content is included. As described herein, motion information (e.g. motion vectors) for blocks of fields of a video signal can be used for the cadence analysis. The use of motion information provides a robust method of performing cadence analysis.

An edge-based sharpness strength control circuit include a first edge determination unit suitable for determining each of multiple regions in a pixel array to be an edge region having edge information on pixel data of the corresponding region or a flat region having flat information on pixel data of the corresponding region, the pixel array including a plurality of pixels; a second edge determination unit suitable for determining each edge region to be a step edge region having directional information within the corresponding edge region or a texture edge region having non-directional information within the corresponding edge region; and a noise removing unit suitable for removing noise from each step edge region using a first filter and for removing noise from each texture edge region using a second filter having a different gain than that of the first filter.

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.