chroma tartarus

to a color space separated by luminance and chroma, such as the HSV color space, and then discard the luminance component. Collect skin color samples, the color of each pixel in the skin sample from the RGB space to the HSV space, statistical its H component histogram, and the histogram is normalized, you can get skin color in h space probability distribution, the probability distribution is the desired tracking mode. The steps are as fol

AV input is the use of AV interface for signal input, AV interface is a relatively early interface, which consists of red, white, yellow three color lines, including yellow line for video transmission line, red and white is responsible for the sound transmission of the left and right channels. The earliest audio-video separation transmission Interface--av interface AV interface is a relatively early interface, it consists of red, white, yellow three color lines, including yellow line fo

represented by three variables-red green and the intensity of the blue. RGB is one of the most common scenarios for recording and displaying color images. However, it lacks good compatibility with early Black-and-white display systems. Therefore, many electronic appliances manufacturers commonly adopted the practice is to convert RGB to YUV color space to maintain compatibility, and then change the RGB format as needed to display color graphics on the computer monitor. YUV format Luminance sig

original link: http://media.pkusz.edu.cn/achievements/?p=40 AVS2 adopts the traditional hybrid coding framework, the whole coding process includes intra prediction, frame prediction, transform quantization, loop Filter and Entropy coding module. Has the following technical characteristics: Figure 1 AVS2 Coding Framework 1. Coding Structure Division In order to meet the compression efficiency requirements of HD and Ultra HD resolution video, the AVS2 adopts a more flexible block partitioning st

; B-Frame: bidirectional prediction interpolation coded frame P Frame: forward prediction coded frame In addition to supporting P-frames and B-frames, 刋 supports a new inter-stream transfer frame--SP frame The statistical results show that in the image of one or two frames, each pixel is only 10% or less, and its luminance difference is more than 2%, and the chroma difference value changes only 1% In the process of video compression, I-frames are imag

coding compression ratio and transmission reliability, which has been widely used in digital TV broadcasting, real-time video communication, network streaming media and other fields. two. Introduction to the video coding method of H. In terms of the overall coding framework, H. E still uses a structure similar to the previous standard, that is, the block structure of the hybrid coding framework. The main structure of the diagram is as follows: The h image of each frame is encoded into one or mo

sensor signal Output YUV, RGB, RAW DATA, JPEG 4 different waysCategory: Camera 2012-12-17 08:59 10085 people read reviews (5) Favorite reports In simple terms,Yuv:luma (Y) + chroma (UV) format, typically sensor supports YUV422 format, that is, the data format is output in y-u-y-v orderRGB: Traditional red-green-blue format, such as RGB565, whose 16-bit data format is 5-bit R + 6-bit G + 5-bit B. G more than one, because the human eye is more sensitive

even 1/8 pixels is further adopted in H. That is, the displacement of the true motion vector may be 1/4 or even 1/8 pixels as the base unit. Obviously, the higher the precision of motion vector displacement, the smaller the residual error between frames, the lower the transmission code rate, that is, the higher the compression ratio.The interpolation of the 6-order FIR filter is used to obtain a 1/2-pixel position value in H. When the 1/2 pixel value is obtained, the 1/4 pixel value can be obta

Commonly used image processing algorithms include the following:1. Filtering (smoothing, noise reduction)2. Enhanced3. Edge Sharpening4. Texture analysis (skeleton, connectivity)5. Image segmentation, grayscale, color, spectral characteristics, texture features, spatial features.6. Transformations (spatial and frequency domains, geometric transformations, chroma transformations)7. Geometric Morphological analysis (BLOB analysis), shape, edge, length,

corrected image problems, such as color adjustment and sharpen filters.Core Image analyzes the quality of an image and provides a series of filter to optimize and adjust these, such as chroma, contrast, and hue.The Core image recognizes the face features of still images and can track them in video images. Knowing where your face is, you can decide where to apply the filter.3. Core image has a built-in filter related document. You can query the system

Jpeginterchangeformatlength Number of JPEG bits Transferfunction Transfer function Whitepoint White Point Chroma Primarychromaticities Primary chroma Ycbcrcoefficients Color space conversion matrix coefficients Referenceblackwhite Black and white reference values Datetime Dat

Number of JPEG bits Transferfunction Transfer function Whitepoint White Point Chroma Primarychromaticities Primary chroma Ycbcrcoefficients Color space conversion matrix coefficients Referenceblackwhite Black and white reference values Datetime Date and time Imagedescription

quantizer). After qpel is enabled, the file size will be reduced ~ 3%.This indicates that qpel is better than qpel.With the above basic descriptions of Mpeg Compression, I will add several terms mentioned last time:Chroma meMe = motion estimation action EstimationSearch for the nearest square on the reference screen and find the distance and direction between them. The process of Motion Vector mv = motion vector is called me.MC = Motion Compensation Action CompensationSubtract the blocks to be

: target value.Style: 1, 2, or 3Startx: any valueStarty: any valueExample: filter: alpha (opacity = "0", finishopacity = "75", style = "2 ")2. filter: blurSyntax: Style = "filter: blur (add = add, direction = direction, strength = strength )"Note:Add: generally 1, or 0.Direction: angle, 0 ~ 315 degrees. The step size is 45 degrees.Strength: the number of results that increase, generally 5.Example: filter: blur (add = "1", direction = "45", strength = "5 ")3. filter: chromaSyntax: Style = "filter

Basic filter--can be directly applied to the object, and effective immediately, mainly:1). alpha--Channel2). blur--Blur3) motionblur--mobile Blur4) chroma--Transparent Color5) Drop shadow--drop Shadow6) flip--Symmetric transformation7) glow--Halo8) grayscale--Grayscale9) invert--Anti-color) mask--MaskOne) shadow--ShadowX-ray--x Light EffectEmboss or engrave--Relief) wave--WaveAdvanced Filter-with JS and other scripts to use, to produce more brilliant

: Style = "filter: blur (add = add, direction = direction, strength = strength )"Note:Add: generally 1, or 0.Direction: angle, 0 ~ 315 degrees. The step size is 45 degrees.Strength: the number of results that increase, generally 5.Example: filter: blur (add = "1", direction = "45", strength = "5 ″) C, chromaFilter:Set the color concentration of the objectSyntax: Style = "filter: chroma (color = color )"Note: Color: # rrggbb format, any.Example: filte

", finishopacity = "75", style = "2 ") 2. filter: blurSyntax: Style = "filter: blur (add = add, direction = direction, strength = strength )"Note:Add: generally 1, or 0.Direction: angle, 0 ~ 315 degrees. The step size is 45 degrees.Strength: the number of results that increase, generally 5.Example: filter: blur (add = "1", direction = "45", strength = "5 ") 3. filter: chromaSyntax: Style = "filter: chroma (color = color )"Note: Color: # rrggbb form

IE6 does not support setting the transparent as the border color. For example:Border: solid 1px transparent; Solution:Border: solid 1px transparent;/* Set an unused color to be index color */_ Border-color: Tomato;/* For IE6 -*//* Then remove this indexed color */_ Filter: chroma (color = tomato);/* For IE6 -*/ The result is as follows: The border is gone. What is the font...Idea: The above phenomenon is only visible when the cleartype of the

strength specified. An interesting Mouseover effect for your links! Blur Add True or false. If true, the image is added to the blurred image; if false, the image is not added to the blurred image. Direction The direction of the Blur, going clockwise, rounded to 45-degree increments. The default value is 270 (left ).0 = Top45 = Top right90 = right135 = bottom right180 = bottom225 = bottom left270 = left315 = top

: any valueStarty: any valueExample: filter: alpha (opacity = "0", finishopacity = "75", style = "2 ") 2. filter: blurSyntax: Style = "filter: blur (add = add, direction = direction, strength = strength )"Note:Add: generally 1, or 0.Direction: angle, 0 ~ 315 degrees. The step size is 45 degrees.Strength: the number of results that increase, generally 5.Example: filter: blur (add = "1", direction = "45", strength = "5 ") 3. filter: chromaSyntax: Style = "filter: