DHT Based JPEG Image Compression Using a Novel Energy Quantization Method

Pattanaik, Sunil Kumar; Mahapatra, Kamalakanta

doi:10.1109/icit.2006.372694

Cited by 7 publications

(7 citation statements)

References 8 publications

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“…where f is given by (10) and f max is the maximum frequency in an M×N image sub-block and is calculated using the formula shown below…”

Section: Csf Based Quantizationmentioning

confidence: 99%

“…Authors in [9] have proposed the use of fuzzy logic for approximating the 2D-DCT used for transforming image sub-blocks in JPEG. Discrete Hartley Transform (DHT) is proposed in [10] as an alternative to DCT for image sub-block transformation. As DHT is used, another efficient quantization approach and scanning order (in lieu of zigzag scanning order used in JPEG) is proposed in [10].…”

Section: Introductionmentioning

confidence: 99%

“…Discrete Hartley Transform (DHT) is proposed in [10] as an alternative to DCT for image sub-block transformation. As DHT is used, another efficient quantization approach and scanning order (in lieu of zigzag scanning order used in JPEG) is proposed in [10]. To enhance the quantization performance, Just Noticeable Difference (JND) based quantization techniques for JPEG have been proposed in [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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JPEG-based Variable Block-Size Image Compression using CIE Lab Color Space

2018

KSII TIIS

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In this work we propose a compression technique that makes use of linear and perceptually uniform CIE La*b* color space in the JPEG image compression framework to improve its performance at lower bitrates. To generate quantization matrices suitable for the linear and perceptually uniform CIE La*b* color space, a novel linear Contrast Sensitivity Function (CSF) is used. The compression performance in terms of Compression Ratio (CR) and Peak Signal to Noise Ratio (PSNR), is further improved by utilizing image dependent, variable and non-uniform image sub-blocks generated using a proposed histogram-based merging technique. Experimental results indicate that the proposed linear CSF based quantization technique yields, on an average, 8% increase in CR for the same reconstructed image quality in terms of PSNR as compared to the conventional YCbCr color space. The proposed scheme also outperforms JPEG in terms of CR by an average of 45.01% for the same reconstructed image quality.

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“…where f is given by (10) and f max is the maximum frequency in an M×N image sub-block and is calculated using the formula shown below…”

Section: Csf Based Quantizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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JPEG-based Variable Block-Size Image Compression using CIE Lab Color Space

2018

KSII TIIS

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“…Superior matching results in terms of average Hamming distance and improved ROC is found as compared to the use of the default quantization table especially for low FAR. The replacement of DCT with DHT to reduce the computational complexity of JPEG is presented in [13]. New quantization method is proposed that facilitates speeding up the coding and decoding procedure while preserving image quality.…”

Section: Quantization Tablesmentioning

confidence: 99%

JPEG quantization tables selection by the firefly algorithm

Tuba

Bačanin

2014

2014 International Conference on Multimedia Computing and Systems (ICMCS)

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JPEG is the prevailing compression algorithm used for digital images. Compression ratio and quality depend on quantization tables that are matrixes of 64 integers. The quality of compression for many applications has to be determined not by human judgment, but by software systems that perform some processing on compressed images, based on successfulness of such processing. Since there are many such applications, there is not unique best quantization table but it has to be selected for each application. Quantization table selection is intractable combinatorial problem that can be successfully solved by swarm intelligence metaheuristics. In this paper we present framework for application of the recently introduced firefly algorithm to the quantization table selection problem for different image similarity metrics. JPEG algorithm; image compression; quantization table; swarm inelligence; firefly algorithm; optimization metaheuristicsI.

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“…Since it is an irreversible process, we can omit this step for a lossless coding technique. The final step is symbol coding, where various coding techniques can be used to represent the information in minimum possible number of bits [1] This is shown in figure 1. II.…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of CORDIC Based DHT for Image Processing Applications

Ahmed¹,

Reddy²

2014

IJIRSET

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Digital image processing(DIP) is the use of computer algorithms to perform image processing on digital images. The basic operation performed by a simple digital camera is, to convert the light energy to electrical energy, then the energy is converted to digital format and a compression algorithm is used to reduce memory requirement for storing the image. This compression algorithm is frequently called for capturing and storing the images. This leads us to develop an efficient compression algorithm which will give the same result as that of the existing algorithms with low power consumption. Image compression is useful as it helps in reduction of the usage of expensive resources, such as memory, or the transmission bandwidth required. But on the downside, compression techniques result in distortion and also additional computational resources are required for compressiondecompression of the medical image data.In this, we proposed DHT based image compression technique. The computational complexity is further reduced by using pipelined CORDIC architecture for computation of sin and cos terms in DHT. The CORDIC based DHT is partially simulated and synthesized by using Xilinx ISE design suite and the same was implemented on targeted FPGA. The hardware requirements and gate delay values are observed and noted down.

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DHT Based JPEG Image Compression Using a Novel Energy Quantization Method

Cited by 7 publications

References 8 publications

JPEG-based Variable Block-Size Image Compression using CIE Lab Color Space

JPEG-based Variable Block-Size Image Compression using CIE Lab Color Space

JPEG quantization tables selection by the firefly algorithm

FPGA Implementation of CORDIC Based DHT for Image Processing Applications

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DHT Based JPEG Image Compression Using a Novel Energy Quantization Method

Cited by 7 publications

References 8 publications

JPEG-based Variable Block-Size Image Compression using CIE La*b* Color Space

JPEG-based Variable Block-Size Image Compression using CIE La*b* Color Space

JPEG quantization tables selection by the firefly algorithm

FPGA Implementation of CORDIC Based DHT for Image Processing Applications

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Product

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JPEG-based Variable Block-Size Image Compression using CIE Lab Color Space

JPEG-based Variable Block-Size Image Compression using CIE Lab Color Space