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Full-Text Articles in Engineering
Evolutionary Optimized Discrete Tchebichef Moments For Image Compression Applications, Ragamathunisa Begum Abdul Hameed, Manimegalai Duraisamy, Abudhahir Ameerbasha, Baskar Subramanian
Evolutionary Optimized Discrete Tchebichef Moments For Image Compression Applications, Ragamathunisa Begum Abdul Hameed, Manimegalai Duraisamy, Abudhahir Ameerbasha, Baskar Subramanian
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Fast Image Search On A Vq Compressed Image Database, Mehmet Yakut
Fast Image Search On A Vq Compressed Image Database, Mehmet Yakut
Turkish Journal of Electrical Engineering and Computer Sciences
A fast and efficient image search method is developed for a compressed image database using vector quantization (VQ). An image search on an image database requires an exhaustive sequential scan of all the images, given the similarity measure. If compressed images are dealt with, images are decompressed as an initial operation and then the previously mentioned exhaustive search is performed using the predetermined similarity measure. If the images in the database are compressed using VQ, the image search process is reduced to codebook index match tests. A pixel by pixel similarity test of two images computationally costs too much. This …
Knowledge-Based Genetic Algorithm Approach To Quantization Table Generation For The Jpeg Baseline Algorithm, Vinoth Kumar Balasubramanian, Karpagam Manavalan
Knowledge-Based Genetic Algorithm Approach To Quantization Table Generation For The Jpeg Baseline Algorithm, Vinoth Kumar Balasubramanian, Karpagam Manavalan
Turkish Journal of Electrical Engineering and Computer Sciences
JPEG has played an important role in the image compression field for the past two decades. Quantization tables in the JPEG scheme is a key factor that is responsible for compression/quality trade-off. Finding the optimal quantization table is an open research problem. Studies recommend the genetic algorithm to generate the optimal solution. Recent reports revealed optimal quantization table generation based on a classical genetic algorithm (CGA). Although the CGA produces better results, it shows inefficiency in terms of convergence speed and productivity of feasible solutions. This paper proposes a knowledge-based genetic algorithm (KBGA), which combines the image characteristics and knowledge …