Pruned Discrete Tchebichef Transform Approximation for Image Compression

Coutinho, Vítor A.; Cintra, Renato J.; Bayer, Fábio M.; Oliveira, Paulo A. M.; Oliveira, Rodrigo Silva de; Madanayake, Arjuna

doi:10.1007/s00034-018-0768-x

Cited by 14 publications

(4 citation statements)

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“…As mentioned earlier, the discrete transforms have been broadly utilized in the applications of image compression. Thus, discrete Tchebichef transform (DTT)-based image compression [19] is developed as an alternate for the DCT-based compression standards due to its properties of energy compaction. Though, the computational cost has been considerably reduced as compared to DCT, but the compression performance was roughly like DCT performance.…”

Section: Introductionmentioning

confidence: 99%

Quantum-dot Cellular Automata Based Lossless CFA Image Compression Using Improved and Extended Golomb-rice Entropy Coder

2022

IJIES

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This article presents an efficient hardware architecture of lossless image compression mechanism using colour filter array (CFA) for wireless camera networks. Recently, Quantum-dot cellular automata (QCA) technology has been widely using in the field of VLSI, thus the proposed compressor is developed using QCA technology to mitigate the area, and power as compared to standard CMOS technology. In addition, an improved and extended Golomb-Rice entropy coder (IEGREC) is proposed to reduce the memory requirement, and computational complexity. The IEGREC approach eliminates the requirement of context module, which is a major component in lossless image compressor architectures and its memory to lessen the hardware resource utilization. Further, to maintain the pixel connectivity and higher compression ratio (CR), the proposed architecture utilizes the adaptive Golomb-Rice (GR) parameter prediction and control module. Finally, packer module is used to maintain the flow of output compressed bit stream. The extensive simulation results show that proposed QCA-IEGREC method performs superior as compared to state-of-art approaches in terms of lesser area as 3700 gate count, and reduced power of 1.02 mW, and even image quality statistics such as 18.78dB of peak signal-to-noise ratio (PSNR), 152.3 of figure-ofmerit (FOM), and 29.3 of CR.

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Section: Introductionmentioning

confidence: 99%

Quantum-dot Cellular Automata Based Lossless CFA Image Compression Using Improved and Extended Golomb-rice Entropy Coder

2022

IJIES

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“…Next, a new hybrid search algorithm was proposed; Wang and Zhao proposed an improved algorithm based on the difference in motion direction [8]; Shu et al borrowed from the research results of the predecessors in the algorithm; a multilayer hierarchical fastadapting whole-pixel motion estimation algorithm was proposed [9]; Tew et al aimed at the slow search speed of the algorithm, using the center bias characteristics of the predicted motion vector, and compared the algorithm [10]. Some improvements were made, and an improved motion estimation algorithm was proposed; Dutta and Gupta proposed its improvement methods for the algorithm in four aspects: starting point prediction, search template, search window, and early termination [11]; Coutinho et al focused on the motion estimation part of the standard, using the motion vector prediction characteristics to obtain the optimal starting point, and setting two thresholds of different sizes to achieve a spiral fast search method [12]. Granado et al designed a real-time edge detection system based on Sobel operator on the FPGA platform [13]; Hwang et al increased the detection direction of Sobel operator [14], analyzed and compared the optimization methods of multiple operators, and improved to improve the operating speed of the system; Khursheed and others use the idea of distributed method processing to accelerate the Canny algorithm [15].…”

Section: Introductionmentioning

confidence: 99%

Embedded Image and Video Coding Algorithm Based on Adaptive Filtering Equation

2021

Advances in Mathematical Physics

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Based on the improved adaptive filtering method, this paper conducts in-depth discussion and research on embedded graphics and video coding and chooses to improve the adaptive filtering algorithm from three aspects: starting point prediction, search template, and window partitioning. The algorithm is imported into the encoder for video capture and encoding. By capturing videos of different formats, resolutions, and times, the memory size of the video files collected before and after the algorithm optimization is compared, and the optimized algorithm occupies the memory space of the video file in the actual system. The conclusion of less and higher coding rates. The collected video information is stored on a personal computer equipped with a freeness, and external electronic devices only need to download and install the browser, and the collected video information can be accessed in the local area network through the protocol. The improved coding algorithm has higher coding efficiency and can reduce the storage space occupied by the video.

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“…Karthikeyan and Palanisamy 4 presented the concept of optimized discrete wavelet transform (DWT) and Huffman encoder. Coutinho et al 5 presented the concept of discrete Tchebichef transform for image compression in embedded systems. Lin and Chen 6 proposed an algorithm that uses mutual correlation information with human vision for medical image compression.…”

Section: Introductionmentioning

confidence: 99%

An efficient JPEG image compression based on Haar wavelet transform, discrete cosine transform, and run length encoding techniques for advanced manufacturing processes

Khan

Nazir

Hussain

et al. 2019

Measurement and Control

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Image compression plays a key role in the transmission of an image and storage capacity. Image compression aims to reduce the size of the image with no loss of significant information and no loss of quality in the image. To reduce the storage capacity of the image, the image compression is proposed in order to offer a compact illustration of the information included in the image. Image compression exists in the form of lossy or lossless. Even though image compression mechanism has a prominent role for compressing images, certain conflicts still exist in the available techniques. This paper presents an approach of Haar wavelet transform, discrete cosine transforms, and run length encoding techniques for advanced manufacturing processes with high image compression rates. These techniques work by converting an image (signal) into half of its length which is known as “detail levels”; then, the compression process is done. For simulation purposes of the proposed research, the images are segmented into 8 × 8 blocks and then inversed (decoded) operation is performed on the processed 8 × 8 block to reconstruct the original image. The same experiments were done on two other algorithms, that is, discrete cosine transform and run length encoding schemes. The proposed system is tested by comparing the results of all the three algorithms based on different images. The comparison among these techniques is drawn on the basis of peak signal to noise ratio and compression ratio. The results obtained from the experiments show that the Haar wavelet transform outperforms very well with an accuracy of 97.8% and speeds up the compression and decompression process of the image with no loss of information and quality of image. The proposed study can easily be implemented in industries for the compression of images. These compressed images are suggested for multiple purposes like image compression for metrology as measurement materials in advanced manufacturing processes, low storage and bandwidth requirements, and compressing multimedia data like audio and video formats.

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Pruned Discrete Tchebichef Transform Approximation for Image Compression

Cited by 14 publications

References 50 publications

Quantum-dot Cellular Automata Based Lossless CFA Image Compression Using Improved and Extended Golomb-rice Entropy Coder

Quantum-dot Cellular Automata Based Lossless CFA Image Compression Using Improved and Extended Golomb-rice Entropy Coder

Embedded Image and Video Coding Algorithm Based on Adaptive Filtering Equation

An efficient JPEG image compression based on Haar wavelet transform, discrete cosine transform, and run length encoding techniques for advanced manufacturing processes

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