Abstract: The present invention relates to an image processing apparatus, an image processing method, a program of the image processing method, and a recording medium having the program of the image processing method recorded thereon, and the present invention is applied to, for example, a display apparatus and improves the textures of details compared with the past. The present invention extracts a texture component S4 from an input image S1, reduces the texture component S4 to generate a subtle texture component S3, and performs image combination of this subtle texture component S3 and the input image S1.

Abstract: There is provided an image determining device including a frequency band signal detecting unit for dividing an image into a plurality of local regions and detecting for each local region signals of a plurality of frequency bands from the image signal; an average value calculating unit for calculating an average value of a characteristic value corresponding to an amplitude, for each local region and for each signal of the plurality of frequency bands; a local region selecting unit for selecting at least one local region based on image information; an average value selecting unit for selecting the average value corresponding to the selected local region; a relative value calculating unit for calculating a relative value of one average value with respect to another average value both of the average values being of the selected average values; and an image determining unit for determining an image based on the relative value.

Abstract: A image processing apparatus includes a first image converting section for converting an original image into an output resolution image, a second image converting section for converting the original image into an intermediate resolution image, a similarity information generating section for detecting a plurality of similar areas, in a block in the intermediate resolution image corresponding to a predetermined partial area in the output resolution image, that resemble the partial area, and for generating similarity information including a position of each of the plurality of similar areas in the intermediate resolution image and a weight of the position, a texture generating section for generating a texture image by combining high-frequency components of the intermediate resolution image at the position according to the weight, and a texture blending section for blending the output resolution image and the texture image to generate output image.

Abstract: An image processing apparatus includes an attention region estimation unit that estimates an attention region which is estimated as a user paying attention thereto on a stereoscopic image, a parallax detection unit that detects a parallax of the stereoscopic image and generates a parallax map indicating a parallax of each region of the stereoscopic image, a setting unit that sets conversion characteristics for correcting a parallax of the stereoscopic image based on the attention region and the parallax map, and a parallax conversion unit that corrects the parallax map based on the conversion characteristics.

Abstract: A parallax detection unit generates a parallax map indicating a parallax of each pixel of an image formed by right and left images and generates a reliability map indicating reliability of the parallax. A depth information estimation unit generates a depth information map indicating the depth of a subject on the image based on the right and left images. A depth parallax conversion unit converts the depth information map into a pseudo-parallax map using a conversion equation used to convert depth information to parallax information. A parallax synthesis unit synthesizes the parallax map and the pseudo-parallax map to generate a corrected parallax map based on the reliability map. The present technology is applicable to an image processing apparatus.

Abstract: A noise reduction method for reducing noise in an input video signal to output an output video signal includes the steps of generating a motion-compensated reference video signal from the output video signal; delaying the output video signal to generate a non-motion-compensated reference video signal; mixing the motion-compensated reference video signal with the non-motion-compensated reference video signal to generate a reference video signal; subtracting the generated reference video signal from the input video signal to generate a differential signal; compensating the differential signal to generate a noise reduction signal; and subtracting the noise reduction signal from the input video signal.

Abstract: A method, apparatus, and computer-readable storage medium for adjusting display of a three-dimensional image is provided. The method includes receiving a viewing condition associated with an image being viewed by a user, determining, by a processor, a conversion characteristic based on the viewing condition, adjusting, by the processor, a display condition of the image based on the conversion characteristic.

Abstract: An image processing apparatus includes: means for extracting, for each pixel of an image, a high-frequency component as focus information from a brightness signal for a neighboring pixel; means for integrating, for each pixel, the focus information on the neighboring pixel; means for replacing the focus information on each pixel with a value obtained using the focus information on the neighboring pixel greater than the focus information on that pixel to generate dark area focus information; means for integrating the brightness signals of each pixel and the neighboring pixel to extract an illumination component; means for calculating a depth value of each pixel using a coefficient based on the illumination component; means for normalizing the depth value of each pixel; means for controlling the normalized depth value using a tone curve; means for detecting a saturation of each pixel; and means for controlling the controlled depth value using the saturation.

Abstract: An image processing apparatus processes an input image while also considering the luminous intensity information thereof, and thereby generates an output image wherein the apparent object surface roughness has been enhanced with respect to the input image. The image processing apparatus includes a luminous intensity information separator that separates the input image information into global luminous intensity information and local luminous intensity information, a shadow component generator that generates a shadow component of the image on the basis of the local luminous intensity information, and an image compositor that generates an output image by adding shadow image information to the input image information, with the shadow image information being generated from the shadow component and from a value based on the input image information.

Abstract: A video-signal processing method for measuring a noise level of an input video signal includes the steps of detecting an intra-field or intra-frame feature for each region that is set in the input video signal, the intra-field or intra-frame feature representing a noise level in the input video signal within a field or frame; checking the intra-field or intra-frame feature against a noise-free-region threshold, and excluding regions with which the infra-field or intra-frame feature is less than the noise-free-region threshold from subjects of noise-level measurement; and outputting a result of noise-level measurement by statistically processing the intra-field or intra-frame features of regions remaining without being excluded.

Abstract: To reduce burden of a viewer at the time of performing stereoscopic display by a stereoscopic display device and to show a stereoscopic image in a natural and comfortable manner. A disparity estimating unit 210 estimates disparity from the left and right images of an input image to generate a disparity map. A disparity analyzing unit 230 analyzes the disparity map to generate a disparity control parameter for performing suitable disparity control. A disparity control unit 240 controls the content of processing at an image conversion unit 250 in accordance with the disparity control parameter. The image conversion unit 250 performs image conversion on the input image based on the control by the disparity control unit 240 to output an output image. The image conversion unit 250 performs image conversion of two steps.

Abstract: Disparity in a stereoscopic image is converted, according to features of a configuration element of an image that influences depth perception of a stereoscopic image. A disparity detecting unit 110 detects disparity from a left image L and right image R of an input image, and generates a disparity map dM. A disparity correction unit 150 corrects the disparity in the disparity map dM and generates a corrected disparity map dM?. A correction feature setting unit 130 sets the correction features in the event of performing disparity correction in the disparity correction unit 150. The image synthesizing unit 160 synthesizes the left image L and right image R of the stereoscopic image based on the corrected disparity map dM? and outputs the stereoscopic image made up of a left image L? and right image R? as an output image. Thus, a stereoscopic image having disparity according to the set correction features is output.

Abstract: An image processing apparatus includes a first display control unit that causes a display unit to display a first 3D image, a receiving unit that receives, from a user, a message indicating whether an amount of parallax of the first 3D image being displayed on the display unit is within an allowable range, a determining unit that determines an estimated allowable range on the basis of the message received by the receiving unit so that if the message indicates that the amount of parallax of the 3D image being displayed is not within the allowable range, the amount of parallax is not included in the estimated allowable range; and a second display control unit that causes the display unit to display a second 3D image on the basis of the estimated allowable range.

Abstract: An image processing apparatus is provided with a parallax detector configured to detect parallax between a left-eye image and a right-eye image used to display a 3D image, a parallax range computing unit configured to compute a range of parallax between the left-eye image and the right-eye image, a determining unit configured to determine whether or not the sense of depth when viewing the 3D image exceeds a preset range that is comfortable for a viewer, on the basis of the computed range of parallax, and a code generator configured to generate a code corresponding to the determination result of the determining unit.

Abstract: Provided is a video signal processing method of measuring a noise level of an input video signal, the method including the steps of: setting a plurality of areas in the input video signal and extracting a characteristic amount which is an index of the noise level of the input video signal for each area; detecting characteristic amounts suitable to a measurement of the noise level from among the characteristic amounts of the plurality of areas; and creating a histogram by using the detected characteristic amounts suitable to the measurement of the noise level and detecting the noise level by analyzing the histogram.

Abstract: An apparatus for suppressing noise of a video signal. The apparatus includes: a difference-signal generation section generating a difference signal being a field or frame difference between the input and the output video signals; a noise compensation-signal generation section generating a noise compensation signal; a noise-compensation signal subtraction section; and a feedback-ratio control section, wherein the feedback-ratio control section includes a signal-level determination section determining a signal level of the difference signal for each area and detecting an abrupt change in an input signal, a count section counting the number of input fields or frames from the time of an abrupt change in a signal level to the subsequent abrupt change, and a feedback-ratio setting section setting a feedback ratio for the area in accordance with a count value, wherein the feedback-ratio setting section sets the feedback ratio such that the ratio gradually increases as the count value increases.

Abstract: An image determination apparatus includes a frequency band signal detecting unit, an average value calculating unit, a relative value calculating unit, and an image determination unit. The frequency band signal detecting unit detects signals belonging to a plurality of frequency bands, from an image signal. The average value calculating unit calculates average values for respective ones of the signals belonging to the plurality of frequency bands detected by the frequency band signal detecting unit. Each of the average values is a characteristic value equivalent to an amplitude. The relative value calculating unit calculates a relative value of one of the average values to another of the average values, among the average values calculated for respective ones of the plurality of frequency bands. The image determination unit for determining an image based on the relative value calculated by the relative value calculating unit. The image determined is subject to image-processing.

Abstract: The format of an input image is determined appropriately, and an appropriate output image adapted to a format that can be displayed on a display section is displayed. An image format determining section 120 determines whether an image inputted to an image input section 110 is in the image format for a plane display image or is in the image format for a stereo display image. A displayable format determining section 160 determines a displayable format of an output image which can be displayed on an image display section 170. An operational input accepting section 150 accepts the output format of the output image displayed on the image display section 170 as a designated display format. An output format determining section 130 determines the output format of the output image on the basis of the image format, the displayable format, and the designated display format.

Abstract: An image processing apparatus includes a first acquiring unit, a second acquiring unit, and a correction processor. The first acquiring unit acquires an intended viewing environment parameter, which is a parameter of an intended viewing environment, together with image data of a three-dimensional picture. The second acquiring unit acquires an actual viewing environment parameter, which is a parameter of an actual viewing environment for a user viewing the three-dimensional picture. The correction processor corrects the three-dimensional picture in accordance with a difference between the acquired intended viewing environment parameter and the acquired actual viewing environment parameter.

Abstract: An image-processing device including a pulverization-core unit configured to divide input-image data into blocks, generate basic blocks by reducing each of the blocks in size, and arrange the basic blocks into the blocks so that processed-image data including at least one noise particle of the input-image data is generated, where the noise particle included in the processed-image data is reduced in size, an edge-detection unit configured to detect an edge degree from the input-image data, and an edge-blend unit configured to subject a pixel value of the input-image data and a pixel value of the processed-image data to load addition and output output-image data based on the detection result so that a weight to the pixel value of the input-image data increases as the edge degree increases is provided.