( Thus dynamic range needs to be compressed. ( , A dynamic range compression method for an image processing device, comprising: receiving a plurality of input pixels, wherein the input pixels comprise a first input pixel; obtaining a luminance pixel value of each of the input pixels; executing a filter execution according to the luminance pixel values of the input pixels to obtain a filter result corresponding to the first input pixel; transforming the filter result into a function result according to a function; and. The image processing device as recited in, 13. It is based on the paper Gradient Domain High Dynamic Range Compression, referred to in other software such as Luminance HDR simply as "Fattal". PATENTED CASE, Free format text: ⁡ In summary, the dynamic compression method and the image processing device provided in the embodiments of the invention may simultaneously perform the dynamic range compression, reserve the details in the image, retain the color information, and are able to quickly obtain the output image using the lockup tables. x The dynamic range of an image can be compressed by replacing each pixel value with its logarithm. avg a color lookup table established according to equation (6), wherein input indexes of the color lookup table are the filter result and the Cr pixel values or the Cb pixel values, in YCbCr color space, of the input pixels, and the output of the color lookup table is the Cb output chroma pixel value or the Cr output chroma pixel value of the input pixels. ( , out - ( ) ) L - adjusting the multiplication result according to a maximum value and a minimum value for obtaining the output luminance pixel value of the first input pixel, wherein the output luminance pixel value of the first input pixel is ranged between the maximum value and the minimum value. + [ wherein the output luminance pixel value is obtained according to: wherein x and y are non-negative integers, L. wherein the luminance pixel value of each of the input pixels is further obtained according to a gain value and a correction value. If you imagine an outdoor scene on a very foggy day, the brightest element would not appear much brighter from the darkest element, so the scene is said to have a low dynamic range. 3. A curve gives one more control over the process, however this tool is designed specifically for the task. Negative values smooth the image by reducing local contrast, while positive values increase it. ) Applying a pixel logarithm operator to an image can be useful in applications where the dynamic range may too large to be displayed on a screen (or to be recorded on a film in the first place). y The effects of this tool depend on the dynamic range (and histogram) of the image being edited. The method includes receiving a plurality of input pixels which include a first input pixel, obtaining a luminance pixel value of each of the input pixels, executing a filter execution according to the luminance pixel values of the input pixels to obtain a filter result corresponding to the first input pixel, transforming the filter result into a function result according to a function, and obtaining an output luminance pixel value of the first input pixel according to the luminance pixel value of the first input pixel and a transforming ratio between the function result and the filter result. x The dynamic range compression method as recited in. 1. T The image processing device as recited in, 10. 128 wT , The tool operates in RGB space and is applied right after Noise Reduction and Haze Removal, but before other tone curve adjustments such as the Exposure controls. On the other hand, if you were to stand indoors on a sunny day, the sun-lit clouds outside would appear far brighter than the lamp-lit room, let alone the dark corners of the room - this is a high dynamic range scene. in avg ] in 1 y ) so also is "Level compression" and "Automatic Gain Control" (AGC) are terms you might wanna look up.don't confuse "Level compression" with "Data compression".two different things. T The image processing device as recited in, 12. i , ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:TSAI, CHI-YI;REEL/FRAME:028982/0404, PAYMENT OF MAINTENANCE FEE, 4TH YR, SMALL ENTITY (ORIGINAL EVENT CODE: M2551); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY, Video enhancement using per-pixel virtual exposures, Perceptual color correction through variational techniques, Perceptually motivated automatic color contrast enhancement based on color constancy estimation, Gradient Domain High Dynamic Range Compression, HDR image quality enhancement based on spatially variant retinal response, Using adaptive tone mapping to enhance edge-preserving color image automatically, A Multiscale Retinex for Bridging the Gap Between Color Images and the Human Observation of Scenes, Dynamic range compression preserving local image contrast for digital video camera, A perceptually inspired variational framework for color enhancement, Photographic tone reproduction for digital images, A Fast Dynamic Range Compression With Local Contrast Preservation Algorithm and Its Application to Real-Time Video Enhancement, A novel simultaneous dynamic range compression and local contrast enhancement algorithm for digital video cameras, LCD image compensation for LED backlighting, Contrast optimization and local adaptation approach for high dynamic range compression, Image data processing method and timing controller, Image processing apparatus and method, and recording medium therefor, System and method of data conversion for wide gamut displays, Methods of and Apparatus for Adjusting Colour Saturation in an Input Image, Visual processing device, visual processing method, visual processing program, integrated circuit, display device, image-capturing device, and portable information terminal, Dynamic range compression apparatus, dynamic range compression method, computer-readable recording medium, integrated circuit, and imaging apparatus, Image processing method and image processing system, Visual processing device, display device, and integrated circuit, Luma adaptation for digital image processing, Capturing and Rendering High Dynamic Range Images, Encoding, decoding, and representing high dynamic range images, Dynamic range correction based on image content, Methods and systems for inter-layer image prediction signaling, System and method for detecting objects in an image, Generation of high dynamic range images without ghosting, Image processing apparatus having a plurality of image processing blocks that are capable of real-time processing of an image signal, Image processing apparatus and image processing method, Enlargement and marking of two-dimensional images, Image processing method, recording medium and apparatus for performing color adjustment to image data using a brightness component, a low-frequency brightness component, and first and second parameters, Method and apparatus for converting from a source color space to a target color space, Multi-channel edge-aware chrominance noise reduction, Color signal converter, display unit, computer-readable storage medium storing color signal conversion program, and color signal conversion method, Method for independently controlling hue or saturation of individual colors in a real time digital video image, Adaptive filters and apparatus, methods, and systems for image processing, Automatic localized adjustment of image shadows and highlights, Automatic Tone Mapping Curve Generation Based on Dynamically Stretched Image Histogram Distribution, Correcting chrominance values based onTone-mapped luminance values, Method for simulating dark-part exposure compensation of high dynamic range images using a single image and image processing device for use with the method, Display unevenness correction device, display device, display unevenness correction method, and display device manufacturing method, Dynamic Range Compensation by Filter Cascade, Image processing apparatus and method of controlling the same. = avg L , , y In other words, the luminance lookup table 521 is configured to use Yin(x,y) and the filter result Lin avg(x,y) as input indexes, and to output the output result Yout(x,y) of an input pixel. ⁡ ) fractals, Details of filtering operations specially adapted for video compression, e.g. [ The dynamic range of the scene is the ratio of the brightest element in the scene to the darkest. ) ⁡ This parameter biases the compression towards the shadows or the highlights. The dynamic range compression method as recited in, obtaining a first regularization parameter according to the filter result, an input pixels brightness maximum value, a minimum parameter, and a maximum parameter, wherein the minimum parameter and the maximum parameter are both greater than 0; and. An image processing device comprising: a luminance capture circuit, configured to receive a plurality of input pixels, wherein the input pixels comprise a first input pixel, and the luminance capture circuit is configured to obtain a luminance pixel value of each of the input pixels; a filter execution circuit, coupled to the luminance capture circuit, configured to execute a filter execution according to the luminance pixel values of the input pixels to obtain a filter result corresponding to the first input pixel; and. 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