Easurements for RDO. partial sampling, which which extract extract image by
Easurements for RDO. partial sampling, which which extract extract image by a couple of CS handful of CS measurements for RDO. The secondincrease the amount of CS measurements to attain optimal sampling The second one is usually to a single should be to raise the amount of CS measurements to attain optimal and compression by using by sampling rate optimized by RDO. sampling and compression the working with the sampling price optimized by RDO.()ImagePartial samplingRate-distortion optimization for sampling rate and bit-depthmCompressed sensingQuantizationEntropy EncoderbFigure The CS-based coding technique with RDO. Figure 2. The CS-based coding technique with RDO.3. Bit-Rate Model three. Bit-Rate Model Based on (three), the bit-rate R is dependent upon the typical DMPO Chemical codeword length of the quantized Depending on (3), the bit-rate R will depend on the average codeword length of the quanCS measurements yQ after entropy encoding. The average codeword length might be approxitized CS measurements yQ just after entropy encoding. The average codeword length can be mated by info entropy of yQ just before entropy encoding [28]. The data entropy approximated byto the distribution characteristics from the CS measurements, so Theextract is closely connected information and facts entropy of yQ prior to entropy encoding [28]. we details entropy characteristics in the CS measurements with the initially sampling to estimate the distribution is closely connected for the distribution traits with the CS measurethe information and facts entropy. Nevertheless, qualities in the CS only the decrease boundary ments, so we extract the distribution the facts entropy is measurements of your 1st from the typical codeword length. There is an error in between the typical codeword length sampling to estimate the facts entropy. However, the information and facts entropy is only along with the information entropy estimated by a couple of measurements. Hence, we modify the the decrease boundary on the typical codeword length. There is an error in between the avercoefficients of length as well as the information entropy estimated by the offline data of the age codeword the data entropy MRTX-1719 manufacturer estimation model by fittinga handful of measurements. average codeword length then take it because the typical codeword length model. Therefore, we modify the coefficients of the details entropy estimation model by fitting the offline data in the average codeword length and after that take it because the typical code3.1. Generalized Gaussian Distribution Model of your Quantized CS Measurements word length model. Based on (2), the quantized CS measurements might be considered to become obtained by f ( and Qb [ . Qb [ does not modify the distribution type, whilst f ( determines the way to three.1. Generalized Gaussian Distribution Model on the Quantized CS Measurements alter the distribution type of CS measurements. The can measurements to be obtained According to (2), the quantized CS measurements CS be thought of working with random Gaussian matrix obey Gaussian distribution [13]. When the structurally random matrix by f () and Qb [ ] . Qb [ ] will not modify the distribution type, when f () deter(SRM) is used for CS measurement, the CS measurements corresponding to the first row mines how to modify the distribution type of CS measurements. The CS measurements of SRM are uniformly distributed, along with the remaining CS measurements are Laplacian utilizing random Gaussian matrix obey Gaussian distribution [13]. When the structurally distributed with zero mean [10]. The distribution of DPCM predictive errors without conditioning on.
