Abstract: A memory structure including a substrate, a first doped region, a second doped region, a first gate, a second gate, a first charge storage structure, and a second charge storage structure is provided. The first gate is located on the first doped region. The second gate is located on the second doped region. The first charge storage structure is located between the first gate and the first doped region. The first charge storage structure includes a first tunneling dielectric layer, a first dielectric layer, and a first charge storage layer. The second charge storage structure is located between the second gate and the second doped region. The second charge storage structure includes a second tunneling dielectric layer, a second dielectric layer, and a second charge storage layer. The thickness of the second tunneling dielectric layer is greater than the thickness of the first tunneling dielectric layer.

Abstract: A method of generating view-dependent compensated images is disclosed. A uniform image is projected on a reflective screen, resulting in a first captured image. The distribution of specular highlight is predicted according to the first captured image, thereby obtaining model parameters. Calibration images are estimated according to the model parameters and a viewing angle, and a compensated image is generated according to the calibration images at the viewing angle.

Abstract: An example process to enhance a two-dimensional (2D) image may include generating a depth map for the 2D image based on edges detected from the 2D image, wherein the depth map can be used to convert the 2D image to a 3D image. The process may further include enhancing the 2D image using the depth map.

Abstract: A direction-adaptive image upsampling system and method using double interpolation is disclosed. Each of double interpolation (DI) units with different interpolation functions receives an input image and generates a corresponding double-interpolated image and an associated double-interpolated difference. A decision unit receives the double-interpolated differences from the DI units for deciding the DI unit that has an optimal interpolation around a pixel under process. An adaptive selector selects the double-interpolated image associated with the DI unit having the optimal interpolation as an output image.

Abstract: In accordance with at least some embodiments of the present disclosure, a processor for performing stereo matching of a first image and a second image is described. The processor may include a first pipeline stage configured to generate data costs associated with a first tile selected from the first image, wherein the data costs is generated based on pixels in the first tile and corresponding pixels in the second image. The processor may include a second pipeline stage configured to generate disparity values associated with the first tile and an outbound message from the first tile to one of neighboring tiles in the first image, wherein the disparity values and the outbound message are generated based on the data costs and inbound messages from the neighboring tiles to the first tile.

Abstract: A method of generating view-dependent compensated images is disclosed. A uniform image is projected on a reflective screen, resulting in a first captured image. The distribution of specular highlight is predicted according to the first captured image, thereby obtaining model parameters. Calibration images are estimated according to the model parameters and a viewing angle, and a compensated image is generated according to the calibration images at the viewing angle.

Abstract: In a system and method of viewer centric depth adjustment, a sensor measures viewing distance of a viewer from a screen; and a depth remapping unit receives a color image, a depth map and the viewing distance, and accordingly remaps depth values of the depth map such that the viewer perceives same depth at different viewing distances.

Abstract: A system and method of correcting a depth map for 3D image is disclosed. A spatial spectral transform unit extracts pixels of object boundaries according to an input image, wherein the spatial spectral transform unit adopts Hilbert-Huang transform (HHT). A correction unit corrects an input depth map corresponding to the input image according to the pixels of object boundaries, thereby resulting in an output depth map.

Abstract: A learning-based visual attention prediction method is disclosed. The method includes a correlation relationship between the fixation density and at least one feature information being learned by training, followed by a test video sequence of test frames being received. Afterward, at least one tested feature map is generated for each test frame based on the feature information. Finally, the tested feature map is mapped into a saliency map, which indicates the fixation strength of the corresponding test frame, according to the correlation relationship.

Abstract: A method of revising depth of a three-dimensional (3D) image is disclosed. The method comprises the following steps: firstly, at least one initial depth map associated with one image of the 3D image pair based on stereo matching technique is received, wherein the one image comprises a plurality of pixels, and the initial depth map carries an initial depth value of each pixel. Then, the inconsistence among the pixels of the one image of the 3D image pair is detected to estimate a reliable map. Finally, the initial depth value is interpolated according to the reliable map and the proximate pixels, so as to generate a revised depth map by revising the initial depth value.

Abstract: In accordance with at least some embodiments of the present disclosure, a process for generating a depth map for converting a two-dimensional (2D) image to a three-dimensional (3D) image is described. The process may include generating a depth gradient map from the 2D image, wherein the depth gradient map is configured to associate one or more edge counts with one or more depth values, extracting an image component from the 2D image, wherein the image component is associated with a color component in a color space, determining a set of gains to adjust the depth gradient map based on the image component, and generating the depth map by performing depth fusion based on the depth gradient map and the set of gains.

Abstract: A super resolution (SR) method or system with database-free texture synthesis is disclosed. An input image is up-sampled to result in an up-sampled image. It is determined whether the input image possesses a smooth region. Edges of the up-sampled image are enhanced, and the enhancing edges step is bypassed if the smooth region has been detected. The enhanced or unenhanced up-sampled image is texture synthesized by taking the input image as texture example, thereby resulting in a synthesized image.

Abstract: An object-based system and method of directing visual attention by a subliminal cue is disclosed. An object detector detects an object in an input image, thereby resulting in a cued object served as an object-based subliminal cue. An enhancement unit enhances saliency of the cued object in the input image by respectively and differently adjusting image characteristic of the cued object and an area other than the cued object, thereby generating a cue image. A mixer selects between the cue image and the input image, thereby resulting in a sequence of output images composed of the input images and the cue images, each of which is interposed between the adjacent input images.

Abstract: In accordance with at least some embodiments of the present disclosure, a process for converting a two-dimensional (2D) image based on edge information is described. The process may include partitioning the 2D image to generate a plurality of blocks, segmenting the plurality of blocks into a group of regions based on edges determined in the plurality of blocks, assigning depth values to the plurality of blocks based on a depth gradient hypothesis associated with the group of regions, wherein pixels in each of the plurality of blocks are associated with a same depth value, and generating the depth map based on the depth values of the plurality of blocks.

Abstract: A method of controlling backlight module, a backlight controller and a display device using the same are provided herein. First, an image having a plurality of regions is received, wherein the image is displayed by a plurality of color backlights which are provided from the backlight module. Next, a first average of a characteristic in a specific region of the image is calculated, wherein the specific region is one of the regions. According to the first average of the characteristic and a weight function, a characteristic weight is calculated. Next, one of the color backlights provided to the specific region is adjusted according to the characteristic weight. Therefore, adjusting the color backlights according to the image content can enhance the displaying quality of the image and adaptively reduce the artifacts perceived by human eyes in different images.

Abstract: A system and method of correcting a depth map for 3D image is disclosed. A spatial spectral transform unit extracts pixels of object boundaries according to an input image, wherein the spatial spectral transform unit adopts Hilbert-Huang transform (HHT). A correction unit corrects an input depth map corresponding to the input image according to the pixels of object boundaries, thereby resulting in an output depth map.

Abstract: An object-based system and method of directing visual attention by a subliminal cue is disclosed. An object detector detects an object in an input image, thereby resulting in a cued object served as an object-based subliminal cue. An enhancement unit enhances saliency of the cued object in the input image by respectively and differently adjusting image characteristic of the cued object and an area other than the cued object, thereby generating a cue image. A mixer selects between the cue image and the input image, thereby resulting in a sequence of output images composed of the input images and the cue images, each of which is interposed between the adjacent input images.

Abstract: A direction-adaptive image upsampling system and method using double interpolation is disclosed. Each of double interpolation (DI) units with different interpolation functions receives an input image and generates a corresponding double-interpolated image and an associated double-interpolated difference. A decision unit receives the double-interpolated differences from the DI units for deciding the DI unit that has an optimal interpolation around a pixel under process. An adaptive selector selects the double-interpolated image associated with the DI unit having the optimal interpolation as an output image.

Abstract: A super resolution (SR) method or system with database-free texture synthesis is disclosed. An input image is up-sampled to result in an up-sampled image. It is determined whether the input image possesses a smooth region. Edges of the up-sampled image are enhanced, and the enhancing edges step is bypassed if the smooth region has been detected. The enhanced or unenhanced up-sampled image is texture synthesized by taking the input image as texture example, thereby resulting in a synthesized image.

Abstract: A learning-based visual attention prediction method is disclosed. The method includes a correlation relationship between the fixation density and at least one feature information being learned by training, followed by a test video sequence of test frames being received. Afterward, at least one tested feature map is generated for each test frame based on the feature information. Finally, the tested feature map is mapped into a saliency map, which indicates the fixation strength of the corresponding test frame, according to the correlation relationship.