Abstract: The visibility of a display device under colored ambient light is improved. There is provided an image processing system for converting a color space represented by color components of image data. The image processing system includes a color space converter configured to correct the color components of the image data by converting the color space such that, with respect to particular color components in user-perceived color gamut widened by influence of chromatic adaptation caused by ambient light, the influence is maintained and such that, with respect to particular color components in user-perceived color gamut narrowed by the influence, the influence is canceled; and a display unit configured to display, as an output image, the image data using the corrected color components.

Abstract: To provide an image processing device, an image processing method, and an image processing program capable of performing image processing beneficial for producing an image having high visibility without giving a sense of incongruity to a user such as a doctor. An image processing device is provided, the image processing device being provided with a weighting determination unit and a brightness calculation unit, wherein: when a region made up of a plurality of pixels, which is at least one portion of an input image input to the image processing device, is defined as a noted region, and this input image, either originally or as a result of an operation after being input, is an image expressed in an RGB color space, that is, each pixel is made up of an R component configuring red, a G component configuring green, and a B component configuring blue, and these are collectively defined as RGB components.

Abstract: An image processing device, an image processing method, and an image processing program capable of appropriately correcting contrast even for an image in which the amplitude of the reflection rate differs for each local area of the image. An image processing device, including a signal intensity extraction unit configured to extract signal intensity of an input image; a peripheral region reference value calculator configured to calculate a peripheral region reference value based on the signal intensity of a peripheral region located around a small region of interest; and an emphasis degree determination unit configured to determine an emphasis degree of the signal intensity so as to increase the signal intensity of the small region, wherein the signal intensity is defined as a reflection rate in the input image input to the image processing device, the small region is defined as a region which is a part of the input image.

Abstract: The visibility of a display device under colored ambient light is improved. There is provided an image processing system for converting a color space represented by color components of image data. The image processing system includes a color space converter configured to correct the color components of the image data by converting the color space such that, with respect to particular color components in user-perceived color gamut widened by influence of chromatic adaptation caused by ambient light, the influence is maintained and such that, with respect to particular color components in user-perceived color gamut narrowed by the influence, the influence is canceled; and a display unit configured to display, as an output image, the image data using the corrected color components.

Abstract: An image processing device and image processing method that reduce the probability that the power consumption of two processing systems will be maximized simultaneously. Such image processing device includes an image processing circuit, a conversion circuit receiving a first pixel data array outputted from the image processing circuit and converting the first pixel data array into a second pixel data array by converting an arrangement of pieces of pixel data included in the first pixel data array pixel by pixel, the first pixel data array being an aggregate of a plurality of pieces of pixel data, the pieces of pixel data being pieces of data corresponding to a plurality of pixels, each of the pieces of pixel data having a plurality of bits, an aggregate of the pixels forming a pixel array, and a processing unit processing the second pixel data array outputted from the conversion circuit.

Abstract: An image processing device, an image processing method, and an image processing program capable of appropriately correcting contrast even for an image in which the amplitude of the reflection rate differs for each local area of the image. An image processing device, including a signal intensity extraction unit configured to extract signal intensity of an input image; a peripheral region reference value calculator configured to calculate a peripheral region reference value based on the signal intensity of a peripheral region located around a small region of interest; and an emphasis degree determination unit configured to determine an emphasis degree of the signal intensity so as to increase the signal intensity of the small region, wherein the signal intensity is defined as a reflection rate in the input image input to the image processing device, the small region is defined as a region which is a part of the input image.

Abstract: To provide an image processing device, an image processing method, and an image processing program capable of performing image processing beneficial for producing an image having high visibility without giving a sense of incongruity to a user such as a doctor. An image processing device is provided, the image processing device being provided with a weighting determination unit and a brightness calculation unit, wherein: when a region made up of a plurality of pixels, which is at least one portion of an input image input to the image processing device, is defined as a noted region, and this input image, either originally or as a result of an operation after being input, is an image expressed in an RGB color space, that is, each pixel is made up of an R component configuring red, a G component configuring green, and a B component configuring blue, and these are collectively defined as RGB components.

Abstract: Provided are an information processing apparatus and program that are able to improve representable gradations in a pseudo manner while reducing flicker including a random number generator configured to generate a random number sequence; a comparator configured to make a comparison between a threshold and a random number value, the threshold being associated with any number of lower bits, the any number of lower bits forming input image data with any number of upper bits, the random number value forming the random number sequence.

Abstract: An image processing device and image processing method that reduce the probability that the power consumption of two processing systems will be maximized simultaneously. Such image processing device includes an image processing circuit, a conversion circuit receiving a first pixel data array outputted from the image processing circuit and converting the first pixel data array into a second pixel data array by converting an arrangement of pieces of pixel data included in the first pixel data array pixel by pixel, the first pixel data array being an aggregate of a plurality of pieces of pixel data, the pieces of pixel data being pieces of data corresponding to a plurality of pixels, each of the pieces of pixel data having a plurality of bits, an aggregate of the pixels forming a pixel array, and a processing unit processing the second pixel data array outputted from the conversion circuit.

Abstract: Provided are an information processing apparatus and program that are able to improve representable gradations in a pseudo manner while reducing flicker including a random number generator configured to generate a random number sequence; a comparator configured to make a comparison between a threshold and a random number value, the threshold being associated with any number of lower bits, the any number of lower bits forming input image data with any number of upper bits, the random number value forming the random number sequence.

Abstract: A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a luminance evaluation value deriving unit that derives a luminance evaluation value of an at least partial region of an image; a saturation evaluation value deriving unit that derives a saturation evaluation value of the at least partial region of the image; a contrast evaluation value deriving unit that derives a contrast evaluation value of the at least partial region of the image; and a haze depth estimating unit that derives a haze depth estimate value of the image based on the luminance evaluation value, the saturation evaluation value, and the contrast evaluation value.

Abstract: To allow fog removal even in a densely foggy image. A fog density calculating unit 11 calculates the fog density of an input image given, by using a separated illumination light component. A reflectance component fog removing unit 13 performs fog removal on a reflectance component calculated by a reflectance calculating unit. An illumination light component fog removing unit 14 performs fog removal on the separated illumination light component. Here, the degree of fog removal by the reflectance component fog removing unit 13 is higher than the degree of fog removal by the illumination light component fog removing unit 14. Thereby, the degree of fog removal of the reflectance component can be raised without significantly raising the level of fog removal of the illumination light component.

Abstract: A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a haze depth estimating unit that derives a haze depth estimate value of one frame among a plurality of frames included in a moving image; a parameter adjusting unit that adjusts a parameter to be used in a haze removal process of the one frame based on a haze depth estimate value of the one frame, and a relationship between the one frame and a past frame of the one frame; and a haze removing unit that executes a haze removal process on the one frame based on the parameter adjusted by the parameter adjusting unit.

Abstract: A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a high saturation pixel extracting unit that extracts, from one frame among a plurality of frames included in a moving image, a high saturation pixel having a saturation higher than a predetermined threshold; a high saturation pixel rate deriving unit that derives a high saturation pixel rate indicative of a percentage of the high saturation pixels in the one frame; and a scene change judging unit that judges whether or not a scene change is included in the moving image based on different criteria depending on whether or not the high saturation pixel rate in the one frame is higher than a predetermined threshold.

Abstract: A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a haze depth estimating unit that derives a haze depth estimate value of one frame among a plurality of frames included in a moving image; a parameter adjusting unit that adjusts a parameter to be used in a haze removal process of the one frame based on a haze depth estimate value of the one frame, and a relationship between the one frame and a past frame of the one frame; and a haze removing unit that executes a haze removal process on the one frame based on the parameter adjusted by the parameter adjusting unit.

Abstract: A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a high saturation pixel extracting unit that extracts, from one frame among a plurality of frames included in a moving image, a high saturation pixel having a saturation higher than a predetermined threshold; a high saturation pixel rate deriving unit that derives a high saturation pixel rate indicative of a percentage of the high saturation pixels in the one frame; and a scene change judging unit that judges whether or not a scene change is included in the moving image based on different criteria depending on whether or not the high saturation pixel rate in the one frame is higher than a predetermined threshold.

Abstract: To allow fog removal even in a densely foggy image. A fog density calculating unit 11 calculates the fog density of an input image given, by using a separated illumination light component. A reflectance component fog removing unit 13 performs fog removal on a reflectance component calculated by a reflectance calculating unit. An illumination light component fog removing unit 14 performs fog removal on the separated illumination light component. Here, the degree of fog removal by the reflectance component fog removing unit 13 is higher than the degree of fog removal by the illumination light component fog removing unit 14. Thereby, the degree of fog removal of the reflectance component can be raised without significantly raising the level of fog removal of the illumination light component.

Abstract: A technique to remove fog from an image more appropriately has been called for. An image processing system is provided, including: a luminance evaluation value deriving unit that derives a luminance evaluation value of an at least partial region of an image; a saturation evaluation value deriving unit that derives a saturation evaluation value of the at least partial region of the image; a contrast evaluation value deriving unit that derives a contrast evaluation value of the at least partial region of the image; and a haze depth estimating unit that derives a haze depth estimate value of the image based on the luminance evaluation value, the saturation evaluation value, and the contrast evaluation value.

Abstract: A coding device and method, a decoding device and method, and a coding/decoding system including the coding device and the decoding device are provided. The coding device includes a predictive value data generator, a predictive error data generator, a variable-length coded data generator that codes the predictive error data to sequentially generate variable-length coded data, in which a code length is variable and equal to or shorter than a set maximum length, and a coding controller. The coding controller sequentially calculates an accumulated value by accumulating a difference between the code length of the variable-length coded data and a target code length, and sequentially sets the maximum code length based on the accumulated value and the number coding time performed by the coder such that the accumulated value is zero or lower.

Abstract: A coding device and method, which can suppress degradation of image data while guaranteeing a target compression ratio, a decoding device and method, which decode the data coded by the coding device and method, and a coding/decoding system including the coding device and the decoding device are provided. The coding device includes a predictive value data generator that sequentially generates predictive value data, a predictive error data generator that sequentially generates predictive error data, which is a difference between pixel data and the predictive value data, a coder that sequentially codes the predictive error data to sequentially generate variable-length coded data, and a coding controller that sequentially controls the coder. The coding controller sequentially calculates an accumulated value by accumulating a difference between a code length and a target code length of the variable-length coded data, and controls the coder such that the final accumulated value is 0 or lower.