Lossless Compression in Bayer Color Filter Array for Capsule Endoscopy

Mohammed, Shahed K.; Rahman, Kaysar; Wahid, Khan A.

doi:10.1109/access.2017.2726997

Cited by 29 publications

(15 citation statements)

References 29 publications

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“…S. Mohammed and K. Wahid describe in [5], [6] a one-dimensional and two-dimensional lossless colour decorrelation process for CFA pattern images operating on 2 × 2 superpixels as in [11]. The one-dimensional transformation is identical to a horizontal Haar filter on the green/blue or green/red lines, an optional vertical filtering step uses a second Haar transform on the average output of the horizontal filter.…”

Section: Related Workmentioning

confidence: 99%

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Bayer CFA Pattern Compression With JPEG XS

Richter

Fobel

Descampe

et al. 2021

IEEE Trans. on Image Process.

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While traditional image compression algorithms take a full three-component color representation of an image as input, capturing of such images is done in many applications with Bayer CFA pattern sensors that provide only a single color information per sensor element and position. In order to avoid additional complexity at the encoder side, such CFA pattern images can be compressed directly without prior conversion to a full color image. In this paper, we describe a recent activity of the JPEG committee (ISO SC 29 WG 1) to develop such a compression algorithm in the framework of JPEG XS. It turns out that it is important to understand the "development process" from CFA patterns to full color images in order to optimize the image quality of such a compression algorithm, which we will also describe shortly. We introduce (1) a novel decorrelation step upfront processing (the so-called Star-Tetrix transform), along with (2) a pre-emphasis function to improve the compression efficiency of the subsequent compression algorithm (here, JPEG XS). Our experiments clearly indicate a gain over a RGB compression workflow in terms of complexity and quality (between 1.5dB and more than 4dB depending on the target bitrate). A comparison is also made with other state-of-the-art CFA compression techniques.

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Section: Related Workmentioning

confidence: 99%

“…To compare our methods with the state of the art, i.e. [4], [6], [7], Fig. 12 shows absolute average PSNR values of the decorrelation transformations taken from the above works, Fig.…”

Section: Comparison With Other Decorrelation Filtersmentioning

confidence: 99%

Bayer CFA Pattern Compression With JPEG XS

Richter

Fobel

Descampe

et al. 2021

IEEE Trans. on Image Process.

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show abstract

“…In the WCE application, many compression algorithms have been proposed. Generally, they can be classified into two categories, i.e., lossless/near-lossless compression methods [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ], and lossy compression methods [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. In the early research on the compression for this medical application, to assure the quality of medical images, the former methods were generally adopted.…”

Section: Introductionmentioning

confidence: 99%

“…JPEG-LS is favored in lossless/near-lossless approaches [ 4 , 5 , 6 ] as its low complexity, and high lossless compression performance with the compression ratio (CR) ≤ 4:1 and peak signal to noise ratio (PSNR) varies from 46.37 dB to ∞. To improve the lossless/near-lossless compression performance, a differential pulse code modulation (DPCM) followed with Golomb-Rice encoding is adopted [ 7 , 8 , 9 , 10 , 11 ]. In these methods, color-space transformations and subsampling schemes are generally incorporated as pre-processes to improve the coding performance with CR ≥ 4.5:1 and PSNR ≥ 48.2 dB.…”

Section: Introductionmentioning

confidence: 99%

3D DCT Based Image Compression Method for the Medical Endoscopic Application

Xue

Yin

Lan

et al. 2021

Sensors

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This paper proposes a novel 3D discrete cosine transform (DCT) based image compression method for medical endoscopic applications. Due to the high correlation among color components of wireless capsule endoscopy (WCE) images, the original 2D Bayer data pattern is reconstructed into a new 3D data pattern, and 3D DCT is adopted to compress the 3D data for high compression ratio and high quality. For the low computational complexity of 3D-DCT, an optimized 4-point DCT butterfly structure without multiplication operation is proposed. Due to the unique characteristics of the 3D data pattern, the quantization and zigzag scan are ameliorated. To further improve the visual quality of decompressed images, a frequency-domain filter is proposed to eliminate the blocking artifacts adaptively. Experiments show that our method attains an average compression ratio (CR) of 22.94:1 with the peak signal to noise ratio (PSNR) of 40.73 dB, which outperforms state-of-the-art methods.

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“…Fortunately, V2V codes with precomputed code tables of manageable size can be used in practice, as illustrated for example by their use in [24], where they are employed as a higher-efficiency replacement for Golomb codes [25]. A similar approach could be followed in recent compression schemes that use Golomb codes, such as [26], [27], [28].…”

Section: Introductionmentioning

confidence: 99%

Lower Bounds on the Redundancy of Huffman Codes With Known and Unknown Probabilities

Blanes¹,

Hernández-Cabronero²,

Serra-Sagristà³

et al. 2019

IEEE Access

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In this paper we provide a method to obtain tight lower bounds on the minimum redundancy achievable by a Huffman code when the probability distribution underlying an alphabet is only partially known. In particular, we address the case where the occurrence probabilities are unknown for some of the symbols in an alphabet. Bounds can be obtained for alphabets of a given size, for alphabets of up to a given size, and for alphabets of arbitrary size. The method operates on a Computer Algebra System, yielding closed-form numbers for all results. Finally, we show the potential of the proposed method to shed some light on the structure of the minimum redundancy achievable by the Huffman code.

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Lossless Compression in Bayer Color Filter Array for Capsule Endoscopy

Cited by 29 publications

References 29 publications

Bayer CFA Pattern Compression With JPEG XS

Bayer CFA Pattern Compression With JPEG XS

3D DCT Based Image Compression Method for the Medical Endoscopic Application

Lower Bounds on the Redundancy of Huffman Codes With Known and Unknown Probabilities

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