Abstract: An image resolution enhancing device and method for a display panel are provided. The image resolution enhancing method includes the following steps. Enlarge the image resolution of a first image to obtain a second image. Shrink the image resolution of the second image to obtain a third image. Implement a subtraction operation on the first image and the third image, so as to obtain a difference image. Enlarge the image resolution of the difference image to obtain an enhancing image. Implement an addition operation on the enhancing image and the second image, so as to obtain a fourth image with high image resolution.

Abstract: A backlight adjustment device includes a color saturation generation unit, a gain generation unit, and an adjustment unit. The color saturation generation unit is used for receiving red, green, and blue sub-pixels of an RGB pixel, and generating a color saturation of the RGB pixel according to the red, green, and blue sub-pixels of the RGB pixel. The gain generation unit is used for generating a gain of the RGB pixel according to the color saturation of the RGB pixel. The adjustment unit is used for adjusting a backlight source according to an average of gains of a plurality of pixels.

Abstract: The present invention provides a system for generating images of multi-views.

Abstract: A multi-depth-of-field 3D-display image processing method is provided. An input image is divided into a foreground and a background signal, resolutions of the foreground and the background signals are compressed into half, the foreground and the background signals with half resolution are synthesized into a relay image to be displayed at a first and a second side of the relay image respectively, and the background signal of the relay image is reversed towards the other side. The relay image is then input to a play device, and a processing circuit reads a forward pixel data and a backward pixel data simultaneously and provides the data to a front and a back panel respectively. The processing circuit magnifies the first side of the front panel and the back panel into a full screen picture towards a predetermined direction, so as to output a full picture 3D image.

Abstract: The present invention discloses a super-resolution method for image display. The method comprises: receiving a low resolution image; dividing the low resolution image into a plurality of regions; finding high resolution patches in a pre-trained database; pasting the high resolution patches back to the plurality of regions by puzzle-form process or oblique-form process and computing the compatibility utilizing a two-dimensional hidden Markov model process; and generating a super-resolution image.

Abstract: An image processing device and a method thereof are provided. In the image processing method, an adjusting value is computed according to a pixel of a current image and a plurality of reference pixels nearby. In addition, a weighted coefficient is computed according to a gray-scale difference between the pixel of the current image and a pixel of a previous image. Further, a weighted adjusting value is computed according to the adjusting value and the weighted coefficient. Besides, the pixel of the current image is adjusted according to the weighted adjusting value to generate a pixel of an output image. Thereby, the current image is adjusted adaptively to increase the quality of the output image.

Abstract: A backlight adjustment device includes a color saturation generation unit, a gain generation unit, and an adjustment unit. The color saturation generation unit is used for receiving red, green, and blue sub-pixels of an RGB pixel, and generating a color saturation of the RGB pixel according to the red, green, and blue sub-pixels of the RGB pixel. The gain generation unit is used for generating a gain of the RGB pixel according to the color saturation of the RGB pixel. The adjustment unit is used for adjusting a backlight source according to an average of gains of a plurality of pixels.

Abstract: The present invention provides a system for generating images of multi-views.

Abstract: An image processing method is provided. The image processing method includes obtaining a least significant bit (LSB) associated with a pixel block. Further, two bits are reduced from a bit number of each of the pixels of the pixel block. Thereafter whether to carry the pixel or not is determined according to the LSB. When the LSB is 01 or 11, the carry manners of each pixel of the pixel block in two consecutive frames are asymmetric one to another. Further, under the conditions of when the LSB is 01 and 11, respectively, the carry manners of the pixels of the pixel block mutually compensate. Therefore, the display performance of a display is improved.

Abstract: The present invention provides a method for generating images of multi-views. The method includes obtaining a 2D original image of an article and background figures of multi-views; calculating the background image range and the main body image range of the 2D original image of the article; cutting the main body image out; generating a depth model according to an equation; cutting the depth model according to the main body image range of the cut 2D image of the article; shifting every pixel in the main body image of the 2D original image of the article according to the cut depth model to obtain shifted main body images of multi-views; and synthesizing the shifted main body images of multi-views and the background figures of multi-views to obtain the final images of multi-views for 3D image reconstruction.

Abstract: A method and system for reducing ghost images in three-dimensional (3D) images are disclosed. The method comprises: calculating a brightness difference distribution between a left-eye image and a right-eye image; determining a space factor indicating a brightness change resulting from the brightness difference distribution on the left-eye image or the right-eye image, the space factor being determined according to two-dimensional (2D) positions where the brightness difference distribution occurs on the screen; and multiplying the brightness difference distribution by the space factor to obtain a compensated right ghost brightness and a compensated left ghost brightness, and respectively deducting the compensated right ghost brightness and the compensated left ghost brightness from the left-eye image and the right-eye image.

Abstract: An image processing device and a method thereof are provided. In the image processing method, an adjusting value is computed according to a pixel of a current image and a plurality of reference pixels nearby. In addition, a weighted coefficient is computed according to a gray-scale difference between the pixel of the current image and a pixel of a previous image. Further, a weighted adjusting value is computed according to the adjusting value and the weighted coefficient. Besides, the pixel of the current image is adjusted according to the weighted adjusting value to generate a pixel of an output image. Thereby, the current image is adjusted adaptively to increase the quality of the output image.

Abstract: The present invention discloses a super-resolution method for image display. The method comprises: receiving a low resolution image; dividing the low resolution image into a plurality of regions; finding high resolution patches in a pre-trained database; pasting the high resolution patches back to the plurality of regions by puzzle-form process or oblique-form process and computing the compatibility utilizing a two-dimensional hidden Markov model process; and generating a super-resolution image.

Abstract: An image display method receives a two-dimensional image data and a depth data both corresponding to a two-dimensional image and a three-dimensional image. The two-dimensional image data and the depth data is encoded so that the sub-pixels of the two-dimensional image data and the depth data related to the three-dimensional image have gray values whose least significant bits vary in a predetermined manner. After receiving the encoded two-dimensional image data and the encoded depth data at a receiving side, a two-dimensional display region and a two-dimensional display region are detected according to the variations in the gray values of the sub-pixels. The method can thus display the three-dimensional image in the three-dimensional display region of the frame and display the two-dimensional image in the two-dimensional display region of the frame.

Abstract: An image-forming method includes inputting a color image, transforming the color image into a first grayscale image, reducing a first brightness range of the first grayscale image to a second brightness range, generating a grayscale gradient image corresponding to spatial distribution of the first grayscale image according to the first brightness range and the second brightness range, overlapping the first grayscale image having the second brightness range and the grayscale gradient image to generate a second grayscale image, generating a translation image according to the second grayscale image and the color image, and forming a three-dimension image according to the color image and the translation image.

Abstract: An image transformation method for use in a computer program product and an image display device is provided. In the image transformation method, a two dimensional image and a corresponding depth image are acquired first. A motion process is performed on the two dimensional image to obtain a plurality of motion images according to the depth image and a plurality of gain values. Then, a plurality of view images are provided and an interpolation process is performed on each motion image to obtain the corresponding view image. Finally, a synthesis process is performed on the view images to obtain a three dimensional image.

Abstract: A method and a system of establishing depth of field data of a 3D image, applicable to a 3D image including a first and a second visual image. The system includes a storage module, an offset calculator, and a comparator. An offset vector matrix includes data fields in the same number as that of pixels of a first visual image. An offset calculator divides a reference frame by taking an ath first pixel of the first visual image as a center, and finds out a target frame having a minimum grayscale difference value with the reference frame from a second visual image, so as to calculate an offset vector value according to the minimum grayscale difference value. A comparator determines that the offset vector values of all the ath first pixels are recorded in the offset vector matrix, so as to convert the offset vector matrix into a depth map.

Abstract: An image processing device and a method thereof are provided. In the method, an original image and a corresponding depth image are received, wherein the depth image includes a plurality of depth values, and the depth values indicate depth of field of a plurality of blocks in the original image respectively. Further, each of the blocks is processed to obtain a corresponding smoothness and/or sharpness effect according to each of the depth values. Thereby, a stereoscopic sensation of the original image can be enhanced.

Abstract: A multi-depth-of-field 3D-display image processing method is provided. An input image is divided into a foreground and a background signal, resolutions of the foreground and the background signals are compressed into half, the foreground and the background signals with half resolution are synthesized into a relay image to be displayed at a first and a second side of the relay image respectively, and the background signal of the relay image is reversed towards the other side. The relay image is then input to a play device, and a processing circuit reads a forward pixel data and a backward pixel data simultaneously and provides the data to a front and a back panel respectively. The processing circuit magnifies the first side of the front panel and the back panel into a full screen picture towards a predetermined direction, so as to output a full picture 3D image.

Abstract: A dynamic contrast enhancement circuit (DCE circuit) includes a grayscale statistical unit, an operation unit and a transformation unit. Wherein, the grayscale statistical unit receives a frame and divides the grayscale distribution of the frame into a plurality of statistical intervals to count the number of pixels of every statistical interval and obtains a plurality of statistical values. When one of the statistical values is greater than a threshold value, the operation unit would adjust every the statistical value according to the difference value between the statistical value exceeding the threshold value and the threshold value. In this way, the transformation unit is able to produce a transformation data according to the adjusted statistical values, so as to perform a DCE processing on the frame.