An effective bilinear interpolation-based iterative chroma subsampling method for color images

Chung, Kuo–Liang; Chen, Szu-Ni

doi:10.1007/s11042-022-12743-0

Cited by 3 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this subsection, we introduce the five state-of-the-art Bayer CFA pattern-dependent chroma subsampling methods: the direct mapping (DM) method [ 27 ], the COPY-based distortion minimization (CDM) method [ 28 ] and the two variants [ 29 , 30 ], and the bilinear interpolation-based distortion minimization (BIDM) method [ 31 ].…”

Section: The Demosaicing-first-based (Df-based) Compression Work For ...mentioning

confidence: 99%

“…To improve the accuracy of COPY-based block-distortion function in Equation ( 11 ), Chung et al [ 31 ] proposed a more effective bilinear interpolation-based (BI-based) 2 × 2 Bayer CFA block-distortion function. For simplicity, we just introduce it for each 2 × 2 Cb block

.…”

Section: The Demosaicing-first-based (Df-based) Compression Work For ...mentioning

confidence: 99%

“…Furthermore, the determinant of the Hessian matrix of

in Equation ( 16 ) equals 6.6216 (>0) [ 31 ], and it deduces the convex property of the positive definite block-distortion function

in Equation ( 16 ). Using the differentiation technique, it yields that in the real domain, the solution of the subsampled (

)-pair of

, denoted by (

), is expressed as

…”

Section: The Demosaicing-first-based (Df-based) Compression Work For ...mentioning

confidence: 99%

“…Then, a chroma 4:2:0 subsampling method is performed on the chroma image

to obtain a subsampled CbCr image

whose size is a quarter of the original chroma image

. In Section 3.2 , two kinds of chroma 4:2:0 subsampling approaches [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ], namely the Bayer CFA pattern-independent approach and the Bayer CFA pattern-dependent approach in Figure 3 b, will be introduced. Furthermore, based on the subsampled CbCr image

and the luma image

, a luma modification method is performed on

to obtain a modified luma image

.…”

Section: Introductionmentioning

confidence: 99%

“…In the chroma subsampling part, we first introduce eight Bayer CFA pattern-independent chroma subsampling methods: 4:2:0(A), 4:2:0(L), 4:2:0(R), 4:2:0(DIRECT), 4:2:0(MPEG-B) [ 23 ], the Anchor method [ 24 ], the interpolation-dependent image downsampling (IDID) method [ 25 ], and the joint chroma downsampling and upsampling (JCDU) method [ 26 ]. In Figure 3 b, we further introduce five Bayer CFA pattern-dependent chroma subsampling methods: the direct mapping (DM) method [ 27 ], the COPY-based distortion minimization (CDM) method [ 28 ], the improved CDM (ICDM) method [ 29 ], the modified 4:2:0(A) method [ 30 ], and the bilinear interpolation-based distortion minimization (BIDM) method [ 31 ]. In the luma modification part, we introduce two luma modification methods: the Bayer CFA pattern-independent LM method [ 33 ] and the optimal Bayer CFA pattern-dependent LM (OLM) method [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Compression for Bayer CFA Images: Review and Performance Comparison

Chung

Chen

Hsieh

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Bayer color filter array (CFA) images are captured by a single-chip image sensor covered with a Bayer CFA pattern which has been widely used in modern digital cameras. In the past two decades, many compression methods have been proposed to compress Bayer CFA images. These compression methods can be roughly divided into the compression-first-based (CF-based) scheme and the demosaicing-first-based (DF-based) scheme. However, in the literature, no review article for the two compression schemes and their compression performance is reported. In this article, the related CF-based and DF-based compression works are reviewed first. Then, the testing Bayer CFA images created from the Kodak, IMAX, screen content images, videos, and classical image datasets are compressed on the Joint Photographic Experts Group-2000 (JPEG-2000) and the newly released Versatile Video Coding (VVC) platform VTM-16.2. In terms of the commonly used objective quality, perceptual quality metrics, the perceptual effect, and the quality–bitrate tradeoff metric, the compression performance comparison of the CF-based compression methods, in particular the reversible color transform-based compression methods and the DF-based compression methods, is reported and discussed.

show abstract

Section: The Demosaicing-first-based (Df-based) Compression Work For ...mentioning

confidence: 99%

.…”

Section: The Demosaicing-first-based (Df-based) Compression Work For ...mentioning

confidence: 99%

“…Furthermore, the determinant of the Hessian matrix of

in Equation ( 16 ) equals 6.6216 (>0) [ 31 ], and it deduces the convex property of the positive definite block-distortion function

in Equation ( 16 ). Using the differentiation technique, it yields that in the real domain, the solution of the subsampled (

)-pair of

, denoted by (

), is expressed as

…”

Section: The Demosaicing-first-based (Df-based) Compression Work For ...mentioning

confidence: 99%

“…Then, a chroma 4:2:0 subsampling method is performed on the chroma image

to obtain a subsampled CbCr image

whose size is a quarter of the original chroma image

and the luma image

, a luma modification method is performed on

to obtain a modified luma image

.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Compression for Bayer CFA Images: Review and Performance Comparison

Chung

Chen

Hsieh

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

An Efficient Pre-processing Technique using HOLF for 2D Image Interpolation

Panda

Meher

2022

2022 8th International Conference on Signal Processing and Communication (ICSC)

View full text Add to dashboard Cite

Normalized Weighting Schemes for Image Interpolation Algorithms

Rukundo

2023

Applied Sciences

View full text Add to dashboard Cite

Image interpolation algorithms pervade many modern image processing and analysis applications. However, when their weighting schemes inefficiently generate very unrealistic estimates, they may negatively affect the performance of the end-user applications. Therefore, in this work, the author introduced four weighting schemes based on some geometric shapes for digital image interpolation operations. Moreover, the quantity used to express the extent of each shape’s weight was the normalized area, especially when the sums of areas exceeded a unit square size. The introduced four weighting schemes are based on the minimum side-based diameter (MD) of a regular tetragon, hypotenuse-based radius (HR), the virtual pixel length-based height for the area of the triangle (AT), and the virtual pixel length for hypotenuse-based radius for the area of the circle (AC). At the smaller scaling ratio, the image interpolation algorithm based on the HR scheme scored the highest at 66.6% among non-traditional image interpolation algorithms presented. However, at the higher scaling ratio, the AC scheme-based image interpolation algorithm scored the highest at 66.6% among non-traditional algorithms presented, and, here, its image interpolation quality was generally superior or comparable to the quality of images interpolated by both non-traditional and traditional algorithms.

show abstract

An effective bilinear interpolation-based iterative chroma subsampling method for color images

Cited by 3 publications

References 21 publications

Compression for Bayer CFA Images: Review and Performance Comparison

Compression for Bayer CFA Images: Review and Performance Comparison

An Efficient Pre-processing Technique using HOLF for 2D Image Interpolation

Normalized Weighting Schemes for Image Interpolation Algorithms

Contact Info

Product

Resources

About