39results about How to "Reduce unnaturalness" patented technology

A rate conversion unit determines a frame thinning-out rate to thin out frames on the basis of a recording rate at the time of photographing and a display rate for display on a display apparatus so that a temporal updating interval of a video image between continuous fields becomes constant. After that, a frame is repeatedly inserted so that a frame rate becomes equal to the display rate.

An image processing apparatus that generates one output image front plural input images includes a detecting unit that detects a positional relation among the plural input images, a pixel-value calculating unit that calculates a pixel value of a pixel of the output image using pixel values of pixels of the input images and an interpolation function, a determining unit that determines whether the pixel of the output image is a motion pixel, and an adjusting unit that adjusts a high-pass characteristic of the interpolation function on the basis of a result of the determination on whether the pixel of the output, image is a motion pixel.

An image processing apparatus configured to perform a process to reduce a color blur in a color motion picture image utilizing a first frame image and a second frame image that has been obtained after the first frame image includes a memory configured to store a first color blur reduction amount used for the process to the first frame image, an estimator configured to calculate a color blur estimation amount in the second frame image through a spatial operation to the second frame image, and a determination part configured to calculate a second color blur reduction amount used for the process to the second frame image so that a difference between the first color blur reduction amount and the color blur estimation amount can fall within a predetermined range.

A digital camera 1 has an image recorder 12, a microprocessor 3, and an image display controller 13. The image recorder 12 records a plurality of sequentially captured images along with a panning mode signal 60 related to the panning operation of the digital camera 1. The microprocessor 3 determines the layout of the plurality of images on the basis of the panning mode signal 60 recorded to the image recorder 12. The image display controller 13 displays a plurality of images side by side on a liquid crystal monitor 55 on the basis of the determination result of the microprocessor 3.

An image forming apparatus has an image acquisition portion that acquires image data on an image including a character. A character-periphery detector detects the peripheral part of the character in the image data acquired by the image acquisition portion. An outline emphasis portion sets the density of the image data acquired by the image acquisition portion, so that the density of the peripheral part of the character detected by the character-periphery detector becomes higher than the density indicated by this image data. A density changer sets the density of the image data so that this density gradually becomes lower from the peripheral part of the character detected by the character-periphery detector toward the inside thereof. An image former forms an image on a sheet of recording paper on the basis of the image data whose density is set by the outline emphasis portion and the density changer.

A signal processing apparatus comprising: an analog-digital converter that converts an analog signal output from a pixel section of an image sensor to a digital signal using a plurality of reference signals having different slopes from each other; and a determination unit that determines a signal level at which the plurality of reference signals are changed based on a distribution of the converted digital signal, wherein the analog-digital converter performs the conversion using a reference signal having a steeper slope when the analog signal is equal to or greater than the signal level than when the analog signal is smaller than the signal level.

A digital camera includes an imaging section, an overlapping area identifying section, a feature point judging section, a luminance adjusting section, and an image combining section. The overlapping area identifying section identifies overlapping areas of images consecutively captured by the imaging section. The feature point judging section judges whether amount of texture within areas of a predetermined range in the identified overlapping areas is larger or smaller than a predetermined reference value. The luminance adjusting section adjusts the pixel values of the images so that the pixel values of the overlapping areas come within a predetermined range, based on a judgment result of the texture. The image combining section combines the adjusted images such that their overlapping areas coincide with each other.

A parameter of a consumption item (fuel, life) consumed as a game progresses is calculated. When a setting of a game termination condition changes, a rate of change of the parameter of the consumption item is changed according to the change of the setting. The game termination condition is a condition relating to the number of laps on a course, a time limit of a game or a game quota. The rate of change of the parameter of the consumption item is increased as the number of laps on a course is reduced, as the time limit of a game is shortened, or as the game quota is reduced. When a value of the parameter of the consumption item becomes equal to zero as a game progresses, the movement or motion of an object is disabled. The parameter of the consumption item is changed from an initial value set by a player with the rate of change which has been specified based on the game termination condition set by the player.

The invention discloses a high-naturalness real-time beautifying method and device, and the method comprises the steps: employing a single-channel high-contrast image buffing method which employs the channel with the smallest number of interference noise points in three channels r, g and b, and effectively reduces the noise interference from other channels while reducing the calculation amount; obtaining the roughness information of skin through calculating a single-channel high-contrast image buffing image, thereby avoiding the skin distortion caused by the direct filtering of the image, and improving the naturalness of skin; and employing a layer mixing and overlapping method: employing a method of filtering, light softening and brightening mixing and overlapping to achieve an effect of skin buffing and whitening and to maintain the naturalness of the image after a buffing layer is calculated and obtained. The device is used at a mobile intelligent terminal, enables human face to remain natural while beautifying, whitening and buffing the face skin, greatly reduces the buffing track, and enables the reduction degree of edges and shadows of a human face to be high.

An image processing apparatus comprises a detection unit configured to detect region information of an object in an image, an acquisition unit configured to detect a predetermined object region that is a part of the object from the region information of the object, and to acquire luminance information of a periphery of the predetermined object region, and a relighting unit configured to perform processing for correcting brightness of the object in the image by adding an effect of virtual light. The relighting unit corrects the brightness of the object including the predetermined object region in accordance with luminance of the periphery of the predetermined object region.

The invention discloses a gain adaptive adjustment method for mapping a gesture motion to an interface, comprising the following sequential steps: S1. collecting video; S2. detecting the user's hand and face; S3. recognizing the width information of the hand in the video; S4 . Obtain the position information of the user's hand movement; S5. Calculate the moving speed of the user's hand in the physical operation space; S6. Use the function of the gain between the cursor and the moving speed of the human hand constructed for the current gesture interaction system on the moving speed of the human hand to calculate Adaptive cursor movement speed; S7. Carry out weighted summation and smoothing on the cursor movement speed; S8. Calculate the movement increment of the cursor output between frames on the display screen; S9. Make a response on the display screen; repeat the steps S4-9. When the distance between the user's hand and the camera in the direction of the optical axis changes, the method can still maintain the relative stability of the gain between the cursor and the user's hand, thereby realizing natural and stable manipulation of the cursor.