Mosaicked multispectral image compression based on inter- and intra-band correlation

TL;DR

This paper introduces a novel compression method for single-sensor multispectral images that encodes raw data before interpolation, leveraging inter- and intra-band correlations to improve efficiency and image quality.

Contribution

It proposes a new spectral transform tailored for mosaicked multispectral images and encodes data prior to interpolation, reducing redundancy and enhancing compression performance.

Findings

Achieves higher PSNR at higher bit rates compared to conventional methods.

Provides about 3-dB gain over traditional post-interpolation compression at rates above 0.1 bit/pixel/band.

Demonstrates improved efficiency by exploiting inter- and intra-band correlations.

Abstract

Multispectral imaging has been utilized in many fields, but the cost of capturing and storing image data is still high. Single-sensor cameras with multispectral filter arrays can reduce the cost of capturing images at the expense of slightly lower image quality. When multispectral filter arrays are used, conventional multispectral image compression methods can be applied after interpolation, but the compressed image data after interpolation has some redundancy because the interpolated data are computed from the captured raw data. In this paper, we propose an efficient image compression method for single-sensor multispectral cameras. The proposed method encodes the captured multispectral data before interpolation. We also propose a new spectral transform method for the compression of mosaicked multispectral images. This transform is designed by considering the filter arrangement and the spectral sensitivities of a multispectral filter array. The experimental results show that the proposed method achieves a higher peak signal-to-noise ratio at higher bit rates than a conventional compression method that encodes a multispectral image after interpolation, e.g., 3-dB gain over conventional compression when coding at rates of over 0.1 bit/pixel/bands.