May be calculated by the following expression: the following expression: R
Might be calculated by the following expression: the following expression: R = mL, (three) R = mL , (3) exactly where L would be the typical codeword length of the quantized CS measurements yQ just after entropy is definitely the typical codeword length of the quantized CS measurements yQ after where L encoding. There’s a good correlation among average codeword length and quantization entropy encoding. bit-depth. When the bit-rate is constrained, sampling price and quantization bit-depth have There’s a constructive correlation in between average codeword length and quantization a competitive partnership with every single other. We are able to minimize the distortion to optimize the bit-depth. When the bit-rate is constrained, sampling price and quantization bit-depth have sampling price and bit-depth for a offered bit-rate R aim , i.e., argmin D (m, b, X) s.t. R(m, b, X) R objective ,m,b(four)where R(m, b, X) and D (m, b, X), respectively, represent bit-rate and distortion of the image X at the sampling rate m plus the bit-depth b. The bit-rate R(m, b, X) could be the typical number of bits per pixel with the encoded image, which is often obtained according to (3). Distortion ^ refers to the dissimilarity between the reconstructed image X as well as the original image X. The distortion measures mostly incorporate the mean square error (MSE), the peak signal-to-noise ratio (PSNR), plus the structural similarity index measure (SSIM) [27]. The PSNR betweenEntropy 2021, 23,image X at the sampling rate m plus the bit-depth b . The bit-rate R (m, b, X) is the average quantity of bits per pixel of your encoded image, which may be obtained as outlined by ^ (three). Distortion refers to the dissimilarity amongst the reconstructed image X along with the original image X . The distortion measures mainly include things like the mean square error (MSE), four of 21 the peak signal-to-noise ratio (PSNR), plus the structural similarity index measure (SSIM) ^ [27]. The PSNR among the reconstructed image X plus the original image X is used as a measure of distortion in our paper. The mathematical definition of PSNR is ^ the reconstructed image 2^ MSE ( Xoriginal image MSE ( X, X) ais the mean square error as PSNR = 10 log10 255 X and also the , X) , exactly where X is utilized ^ measure of distortion in ^ our paper. The mathematical definition of PSNR is PSNR = ten log10 2552 /MSE(X, X) , ^ and thebetween image X . The calculationX as well as the ^ among the(reconstructed image X error original the reconstructed image ^ distorof exactly where MSE X, X) is definitely the mean square tion and image X.is dependent upon the original image and decoded image, as well as the price of oboriginal bit rate The calculation of distortion and bit price is determined by the original image FAUC 365 Protocol prevent calculating the bit-rates and distortions, we propose a brand new new bit-rate model and an optimal bit-depth model. Then, we propose a general technique to optimize and an optimal bit-depth model. Then, we propose a basic method to optimize the the sampling rate and bit-depthCS-based image coding. Figure 2 is theis the CS-based ensampling rate and bit-depth for for CS-based image coding. Figure 2 CS-based encoding coding method with RDO [21,23]. Our CS framework includes two CS processes. The first technique with RDO [21,23]. Our CS framework consists of two CS processes. The first 1 is a single is partial sampling, aims toaims to image featuresfeatures by am.