Video Decoder Market: Segmentation Segmentation of the Video Decoder Market Based on Components of the Video Decoder: Analog processors Y/C (luminance/chrominance) separation Chrominance
processor Luminance processor Clock/timing processor A/D converters for Y/C Output formatter Host communication interface Segmentation of the Video Decoder Market Based on End-users: Education Manufacturing BFSI Healthcare IT & Telecommunication Energy Retail Transportation Others Video Decoder Market: Competitive Landscape Examples of some of the key players operating in the video decoder market are Axis Communications AB, Matrox Graphics Inc., Honeywell Security Group, Cisco Systems, Inc., Bosch Security Systems, Pelco Corporation, Harmonic Inc., Vitec Group and Teleste Corporation.
Its colour version, known as FSIMc, contains the additional factor (with the exponent [gamma]), where the same formulas are applied for both chrominance
components in YIQ colour space.
 proposed a universal color model for fire pixel detection, and the algorithm used the YCbCr color space to separate chrominance
and luminance components more effectively than other color spaces (such as RGB).
Another color conversion is used such as YCbCr color system to give the luminance information Y or chrominance
information Cb and Cr .
Chen, "Stereoscopic video coding with asymmetric luminance and chrominance
qualities," IEEE Trans.
As we become hypnotized by this magical little anomaly, chromatic bands glide across the frame, reconfiguring its glowing palette while referencing the color bars that guide televisual chrominance
By using the luminance and chrominance
channels of the combined colour texture information, complementary low-level feature descriptions are extracted from a variety of colour spaces; the feature descriptions from each image band are combined to produce a feature histogram.
Noisy image is converted into luminance chrominance
(YCbCr) color space by matrix transformation as
Since the human visual system is more sensitive to the luminance channel, we use the superresolution reconstruction method based on dictionary learning proposed in this study to reconstruct the images in the luminance channel, and the images in the Cb and Cr chrominance
channels are simply magnified by the bicubic interpolation method.
The study of  proposed an algorithm for converting the RGB image into the grey-scale image which can do RGB approximation, reduction, and addition of luminance and chrominance
and sustain the structure, sharpness, contrast, and shadow of the original RGB color image in the resultant image.
Since Y is a luminance component, [C.sub.b] and [C.sub.r] are chrominance
(10) Reconstruction of the watermarked video frame is done using the watermarked luminance part and the original frame chrominance
parts Cb and Cr, by conversion from the YCbCr into the RGB color space.