A Reversible Grayscale Method Based on Bit-Field Multi-Channel Fusion Encoding

This work proposes a reversible grayscale-compatible representation based on bit-field multi-channel fusion. The high 8 bits store a standard grayscale image so that the file remains directly viewable as grayscale, while the low 8 bits store compact hue and saturation hints for color restoration.

In the broader publication record, this work sits in 2025 10th International Conference on Image, Vision and Computing (ICIVC), 555-560 and connects to practical problems in 3D sensing, computational geometry, and industrial machine vision.

Problem setting

This work proposes a reversible grayscale-compatible representation based on bit-field multi-channel fusion. The high 8 bits store a standard grayscale image so that the file remains directly viewable as grayscale, while the low 8 bits store quantized hue and saturation hints. A lightweight restoration network uses the grayscale carrier and color hints to reconstruct RGB, balancing grayscale compatibility, storage simplicity, and color recovery quality.

In the broader publication record, this work appears in 2025 10th International Conference on Image, Vision and Computing (ICIVC), 555-560. The visual notes below pair the paper’s original figures with a concise reading of the method, experimental setup, and reported results.

Method and visual evidence

The method follows an optical 3D measurement pipeline: acquire coded images, recover phase or geometric cues, compensate the dominant error source, and reconstruct a reliable 3D result.

The extracted figures below show the sensing setup, algorithmic signal flow, and representative reconstruction or calibration results.

Method overview. This image is extracted from an embedded PDF image object on page 3, then recomposed for web display.

Representation and setup. This image is extracted from an embedded PDF image object on page 5, then recomposed for web display.

Experimental evidence. This image is extracted from an embedded PDF image object on page 5, then recomposed for web display.

Result comparison. This image is extracted from an embedded PDF image object on page 5, then recomposed for web display.

Additional visual result. This image is extracted from an embedded PDF image object on page 5, then recomposed for web display.

Results and impact

The evaluation reported in 2025 10th International Conference on Image, Vision and Computing (ICIVC), 555-560 uses the extracted figures above to show the method’s measurement, reconstruction, segmentation, matching, or diagnostic behavior on representative experiments. These visuals are paired with the paper’s quantitative or qualitative analysis to make the workflow easier to inspect from the homepage.

Source handling

I extracted 16 candidate image objects from paper.pdf and generated the compressed WebP figures used on this page.