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jpeg/heif encoder canon digic  (Canon inc)

 
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    Canon inc jpeg/heif encoder canon digic
    Comparison of energy consumption (given by Energy/MAC) as a function of number of inputs pixels N for encoding via matrix multiplication using electronic approaches such as GPU, SoC, or <t>ASIC-based</t> (black solid line with a red band) and the presented optical approach using a photonic encoder with average transmission \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{{scatter}}=20\%$$\end{document} T s c a t t e r = 20 % (blue solid line). For the electronic approaches, typical energy efficiency of these digital accelerators is on the order of ~1 pJ/MAC and the red band shows the range of values for different accelerators. For the photonic approach, different color-coded lines correspond to the different components contributing to the total energy consumption such as the laser (dashed red line), modulators (dashed yellow lines), and detectors (dashed magenta line). The vertical gray line corresponds to energy consumption values for an 8 × 8 kernel or a 64-input pixel block. The energy consumption is dominated by the input laser and the overall energy efficiency of the presented optical approach improves as N or number of input pixels increases.
    Jpeg/Heif Encoder Canon Digic, supplied by Canon inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/jpeg+encoder/jpeg+heif+encoder+canon+digic/pmc11130346-290-27-24
    Average 90 stars, based on 1 article reviews
    jpeg/heif encoder canon digic - by Bioz Stars, 2026-11
    90/100 stars

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    1) Product Images from "Integrated photonic encoder for low power and high-speed image processing"

    Article Title: Integrated photonic encoder for low power and high-speed image processing

    Journal: Nature Communications

    doi: 10.1038/s41467-024-48099-2

    Comparison of energy consumption (given by Energy/MAC) as a function of number of inputs pixels N for encoding via matrix multiplication using electronic approaches such as GPU, SoC, or ASIC-based (black solid line with a red band) and the presented optical approach using a photonic encoder with average transmission \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{{scatter}}=20\%$$\end{document} T s c a t t e r = 20 % (blue solid line). For the electronic approaches, typical energy efficiency of these digital accelerators is on the order of ~1 pJ/MAC and the red band shows the range of values for different accelerators. For the photonic approach, different color-coded lines correspond to the different components contributing to the total energy consumption such as the laser (dashed red line), modulators (dashed yellow lines), and detectors (dashed magenta line). The vertical gray line corresponds to energy consumption values for an 8 × 8 kernel or a 64-input pixel block. The energy consumption is dominated by the input laser and the overall energy efficiency of the presented optical approach improves as N or number of input pixels increases.
    Figure Legend Snippet: Comparison of energy consumption (given by Energy/MAC) as a function of number of inputs pixels N for encoding via matrix multiplication using electronic approaches such as GPU, SoC, or ASIC-based (black solid line with a red band) and the presented optical approach using a photonic encoder with average transmission \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{{scatter}}=20\%$$\end{document} T s c a t t e r = 20 % (blue solid line). For the electronic approaches, typical energy efficiency of these digital accelerators is on the order of ~1 pJ/MAC and the red band shows the range of values for different accelerators. For the photonic approach, different color-coded lines correspond to the different components contributing to the total energy consumption such as the laser (dashed red line), modulators (dashed yellow lines), and detectors (dashed magenta line). The vertical gray line corresponds to energy consumption values for an 8 × 8 kernel or a 64-input pixel block. The energy consumption is dominated by the input laser and the overall energy efficiency of the presented optical approach improves as N or number of input pixels increases.

    Techniques Used: Comparison, Transmission Assay, Blocking Assay



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    Comparison of energy consumption (given by Energy/MAC) as a function of number of inputs pixels N for encoding via matrix multiplication using electronic approaches such as GPU, SoC, or <t>ASIC-based</t> (black solid line with a red band) and the presented optical approach using a photonic encoder with average transmission \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{{scatter}}=20\%$$\end{document} T s c a t t e r = 20 % (blue solid line). For the electronic approaches, typical energy efficiency of these digital accelerators is on the order of ~1 pJ/MAC and the red band shows the range of values for different accelerators. For the photonic approach, different color-coded lines correspond to the different components contributing to the total energy consumption such as the laser (dashed red line), modulators (dashed yellow lines), and detectors (dashed magenta line). The vertical gray line corresponds to energy consumption values for an 8 × 8 kernel or a 64-input pixel block. The energy consumption is dominated by the input laser and the overall energy efficiency of the presented optical approach improves as N or number of input pixels increases.
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    Image Search Results


    Overall Architecture of the proposed MSCSCC-Net. Deep feature extraction module extracted different scales features from input JPEG-compressed image and then used for forgery detection and localization. The detection head determines if the image is forged based on the prediction score. As we move from Mask 4 to Mask 1, the precision of forgery localization increases. For instance, Mask 1 corrects Mask 4’s prediction that confuses the forged area with the copied one.

    Journal: Scientific Reports

    Article Title: MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image

    doi: 10.1038/s41598-025-97555-6

    Figure Lengend Snippet: Overall Architecture of the proposed MSCSCC-Net. Deep feature extraction module extracted different scales features from input JPEG-compressed image and then used for forgery detection and localization. The detection head determines if the image is forged based on the prediction score. As we move from Mask 4 to Mask 1, the precision of forgery localization increases. For instance, Mask 1 corrects Mask 4’s prediction that confuses the forged area with the copied one.

    Article Snippet: To add JPEG-compressed artifacts, we use the above test datasets to generate JPEG-compressed images by the MATLAB JPEG encoder, and each image’s quality factor ranges uniformly from 10 to 100 in increments of 10. (2) Metrics: In accordance with earlier research , we compute the PSNR, SSIM, and PSNR-B for a quantitative evaluation of the restored image to compare JPEG artifact removal performance.

    Techniques: Extraction

    Comparison of energy consumption (given by Energy/MAC) as a function of number of inputs pixels N for encoding via matrix multiplication using electronic approaches such as GPU, SoC, or ASIC-based (black solid line with a red band) and the presented optical approach using a photonic encoder with average transmission \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{{scatter}}=20\%$$\end{document} T s c a t t e r = 20 % (blue solid line). For the electronic approaches, typical energy efficiency of these digital accelerators is on the order of ~1 pJ/MAC and the red band shows the range of values for different accelerators. For the photonic approach, different color-coded lines correspond to the different components contributing to the total energy consumption such as the laser (dashed red line), modulators (dashed yellow lines), and detectors (dashed magenta line). The vertical gray line corresponds to energy consumption values for an 8 × 8 kernel or a 64-input pixel block. The energy consumption is dominated by the input laser and the overall energy efficiency of the presented optical approach improves as N or number of input pixels increases.

    Journal: Nature Communications

    Article Title: Integrated photonic encoder for low power and high-speed image processing

    doi: 10.1038/s41467-024-48099-2

    Figure Lengend Snippet: Comparison of energy consumption (given by Energy/MAC) as a function of number of inputs pixels N for encoding via matrix multiplication using electronic approaches such as GPU, SoC, or ASIC-based (black solid line with a red band) and the presented optical approach using a photonic encoder with average transmission \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${T}_{{scatter}}=20\%$$\end{document} T s c a t t e r = 20 % (blue solid line). For the electronic approaches, typical energy efficiency of these digital accelerators is on the order of ~1 pJ/MAC and the red band shows the range of values for different accelerators. For the photonic approach, different color-coded lines correspond to the different components contributing to the total energy consumption such as the laser (dashed red line), modulators (dashed yellow lines), and detectors (dashed magenta line). The vertical gray line corresponds to energy consumption values for an 8 × 8 kernel or a 64-input pixel block. The energy consumption is dominated by the input laser and the overall energy efficiency of the presented optical approach improves as N or number of input pixels increases.

    Article Snippet: These SoCs typically include ARM cores for general-purpose computing, memory interface, and device control, along with specifically designed hardware codecs (e.g., JPEG/HEIF encoder in Canon DIGIC) or image-processing ASIC (e.g., Apple A16 Bionic) for JPEG compression and decoding.

    Techniques: Comparison, Transmission Assay, Blocking Assay