A low complexity lossless Bayer CFA image compression

Rahman, Kaysar; Mohammed, Shahed K.; Vedaei, Seyed Shahim; Mohebbian, Mohammad Reza; Chafjiri, Fatemeh Sedighipour; Wahid, Khan A.

doi:10.1007/s11760-021-01921-6

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…Here, "n" indicates total number of images available in both datasets. The AGWT of an input digital or aerial image "x(t)" is mathematically expressed by Equation (5).…”

Section: Anisotropic Gabor Deep Stacked Auto Encoding Based Image Com...mentioning

confidence: 99%

“…It also extends to the creation of industrial and medical images. 4,5 Before processing or transferring this created data, whether it is audio, visual and so forth, it must be saved in media files. These media files occupy space in storage devices.…”

Section: Introductionmentioning

confidence: 99%

“…From taking a picture of a lovely view to gathering photographs for the training of self‐driving car systems, the reliance can take many different forms. It also extends to the creation of industrial and medical images 4,5 . Before processing or transferring this created data, whether it is audio, visual and so forth, it must be saved in media files.…”

Section: Introductionmentioning

confidence: 99%

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Bilateral anisotropic Gabor wavelet transformation based deep stacked auto encoding for lossesless image compression

Kumar¹,

Sarankumar²,

vignesh³

et al. 2022

Concurrency and Computation

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A highly challenging aspect of the data compression technique is maintaining the quality of data that reconstructs in high compression rates. To overcome these limitations, a bilateral anisotropic Gabor wavelet transformation with deep stacked auto encoding (BAGWT-DSAE) technique based lossesless image compression is proposed in this article to save the storage space and processing time during transferring the images. The proposed method contains three main processes namely preprocessing, compression and decompression. Initially input aerial image and digital image are taken and these images are given bilateral filter based preprocessing for eliminates the different types of noises and also multiple artifacts. Then the preprocessed images are given to anisotropic Gabor wavelet transformation based deep stacked auto encoding to compress and decompress the wavelet transform's sensitive sub-bands effectually. In DSAE, the decoder of the auto encoder achieves a better quality decompressed image. The proposed method is implemented in MATLAB simulations run in

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“…Here, "n" indicates total number of images available in both datasets. The AGWT of an input digital or aerial image "x(t)" is mathematically expressed by Equation (5).…”

Section: Anisotropic Gabor Deep Stacked Auto Encoding Based Image Com...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bilateral anisotropic Gabor wavelet transformation based deep stacked auto encoding for lossesless image compression

Kumar¹,

Sarankumar²,

vignesh³

et al. 2022

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…[ 6–9 ] Generally, the wavelength recognition in commercial visible image sensors is enabled by the integration of silicon (Si)‐based PDs and Bayer filters, in which the Bayer filters with a 2 × 2 red‐green‐blue‐green pattern (RGBG) for each pixel are placed on the top of the PD arrays, complicating the device fabrication and challenging the high‐density integration. [ 10,11 ] Additionally, the rigidness of Si materials limits the development of future flexible image sensors. [ 12 ] Regarding X‐ray imaging, a long imaging time is usually required for the amorphous selenium ( α ‐Se) direct‐conversion detector due to the low X‐ray stopping ability and insufficient charge transport.…”

Section: Introductionmentioning

confidence: 99%

Recent Progress on Wavelength‐Selective Perovskite Photodetectors for Image Sensing

Han

et al. 2023

Small Methods

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Spectral sensing plays a crucial part in imaging technologies, optical communication, and other fields. However, complicated optical elements, such as prisms, interferometric filters, and diffraction grating, are required for commercial multispectral detectors, which hampers their advance toward miniaturization and integration. In recent years, metal halide perovskites have been emerging for optical-component-free wavelength-selective photodetectors (PDs) because of their continuously tunable bandgap, fascinating optoelectronic properties, and simple preparation processes. In this review, recent advances in wavelength-selective perovskite PDs, including narrowband PDs, dual-band PDs, multispectral-recognizable PDs, and X-ray PDs, are highlighted, with an emphasis on device structure designs, working mechanisms, and optoelectronic performances. Meanwhile, the applications of wavelength-selective PDs in image sensing for single-/dual-color imaging, full-color imaging, and X-ray imaging are introduced. Finally, the remaining challenges and perspectives in this emerging field are presented.

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CFA image compression using an efficient cascaded overlapping color transformation

Mohebbian

Chafjiri

Vedaei

et al. 2023

Multimed Tools Appl

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A low complexity lossless Bayer CFA image compression

Cited by 9 publications

References 23 publications

Bilateral anisotropic Gabor wavelet transformation based deep stacked auto encoding for lossesless image compression

Bilateral anisotropic Gabor wavelet transformation based deep stacked auto encoding for lossesless image compression

Recent Progress on Wavelength‐Selective Perovskite Photodetectors for Image Sensing

CFA image compression using an efficient cascaded overlapping color transformation

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