Image‐independent optimal non‐negative integer bit allocation technique for the DCT‐based image transform coders

Thakur, Vikrant Singh; Thakur, Kavita; Gupta, Shubhrata; Rao, K. R.

doi:10.1049/iet-ipr.2018.6302

Cited by 3 publications

(6 citation statements)

References 25 publications

(42 reference statements)

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“…The black line and blue line represent the results obtained by generating non-uniform quantizers and uniform quantizers after NNIBA, respectively. Combining the rate-distortion curves in Figures 6 and 7, our method achieves an average WS-PSNR improvement of 0.35 dB compared to the method proposed by Li et al [31],and an average improvement of 2.66 dB compared to the method proposed by Thakur et al [25] at the same bit budget. The approach delineated by Li et al [31] demonstrates performance comparable to our method at relatively low rates.…”

Section: Results and Analysis For Jpeg-based Methodsmentioning

confidence: 65%

“…This result underscores the superior efficiency of our approach in image compression. Given the absence of specifically designed integer bit allocation methods for omnidirectional images, we compare our method with those proposed by Thakur et al [25] and Li et al [31] whose bit allocation methods were designed for planar images. All methods are given the same bit budget and their quality is evaluated using WS-PSNR.…”

Section: Results and Analysis For Jpeg-based Methodsmentioning

confidence: 99%

“…Due to the characteristics of spherical image projection, we posit that coefficients at different latitudes exhibit distinct distributions. To capture this, we utilize empirical distribution instead of the Gaussian distribution assumed in [25]. The subsequent step involves a two-step greedy algorithm to allocate the non-negative integer (NNI) bits.…”

Section: Introductionmentioning

confidence: 99%

“…Rate distortion curves for non-negative integer bit allocation (NNIBA) methods over 100 images with a resolution of 256 × 512 pixels[25,31].…”

mentioning

confidence: 99%

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Latitude-Adaptive Integer Bit Allocation for Quantization of Omnidirectional Images

Sima,

Feng,

2024

Applied Sciences

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Omnidirectional images have gained significant popularity and drawn great attention nowadays, which poses challenges to omnidirectional image processing in solving the bottleneck of storage and transmission. Projecting onto a two-dimensional image plane is generally used to compress an omnidirectional image. However, the most commonly used projection format, the equirectangular projection (ERP), results in a significant amount of redundant samples in the polar areas, thus incurring extra bitrate and geometric distortion. We derive the optimal latitude-adaptive bit allocation for each image tile. Subsequently, we propose a greedy algorithm for non-negative integer bit allocation (NNIBA) for non-uniform quantization under an omnidirectional image quality metric WMSE. In our experiment, we design quantization tables based on JPEG and compare our approach with other sampling-related methods. Our method achieves an average bit saving of 7.9% compared with JPEG while outperforming other sampling-related methods. Besides, we compare our non-uniform quantization approach with two proposed bit allocation methods, achieving an average improvement of 0.35 dB and 2.66 dB under WS-PSNR, respectively. The visual quality assessment also confirms the superiority of our method.

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Section: Results and Analysis For Jpeg-based Methodsmentioning

confidence: 65%

Section: Results and Analysis For Jpeg-based Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Rate distortion curves for non-negative integer bit allocation (NNIBA) methods over 100 images with a resolution of 256 × 512 pixels[25,31].…”

mentioning

confidence: 99%

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Latitude-Adaptive Integer Bit Allocation for Quantization of Omnidirectional Images

Sima,

Feng,

2024

Applied Sciences

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“…In [9], a new approximation for the 8-point discrete tchebichef transform was proposed with a higher power-and compression efficiency by exploring coefficient truncation. In [10], an image-dependent optimum nonnegative integer bit allocation algorithm was proposed, which was then mapped into desired image-independent solution via utilization of a prepared combined image and proposed modified step size mapping technique. In [11], the authors presented a hardware architecture for 8 × 8 2D DCT and inverse DCT using Taylor-series expansion of trigonometric functions.…”

Section: Related Workmentioning

confidence: 99%

Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Zhao

2021

Mobile Information Systems

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Urbanization is the process that people shift from rural to urban areas, which has led to large numbers of left-behind children in China. The left-behind children stay in rural regions of China while their parents work in urban areas. The left-behind children have few opportunities to participate in sports due to the lacking of concern, and it is not of high quality even though they participate in sports. Therefore, it is necessary to improve the quality of left-behind children's sports participation through wireless network monitoring. Wireless network monitoring transmits high-definition (HD) video streaming in real time to facilitate feedback timely. This paper studies the two-dimensional (2D) integer discrete cosine transform (DCT) and analyzes the reason for image distortion, then an improved DCT coefficient quantization approach is proposed for long-distance real-time transmission of HD video streaming, and a noise processing with a zero-mean noise processing is added in optimized approach to solve the image distortion problem. The experimental results show that the proposed improved approach has a good performance in reducing the blocking artifacts, and within the image reconstruction, the proposed approach improves the subjective video quality.

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Hybrid of DCT And PCA For Image Size Compression

Hassan,

Wali,

Shujaa

2023

2023 International Conference on Computer and Applications (ICCA)

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Image‐independent optimal non‐negative integer bit allocation technique for the DCT‐based image transform coders

Cited by 3 publications

References 25 publications

Latitude-Adaptive Integer Bit Allocation for Quantization of Omnidirectional Images

Latitude-Adaptive Integer Bit Allocation for Quantization of Omnidirectional Images

Improving the Quality of Left-Behind Children’s Participation in Sports through Wireless Network Monitoring

Hybrid of DCT And PCA For Image Size Compression

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