Armazenamento e reconstrução de imagens comprimidas via codificação e decodificação

• Ano de defesa: 2016
• Autor(a) principal: Travassos, Natalia Caroline Lopes [UNESP]
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Compression; Encoding; Decoding; Image storage; Compressão; Codificação; Decodificação; Armazenamento de imagens
• Link de acesso: http://hdl.handle.net/11449/148831

This work presents an encoding algorithm for compressed images that represents each pixel of an image and its coordinates by a single value. For each pixel and its coordinates, this unique value is stored in a vector that is used in the reconstruction of the image without its quality being compromised. The proposed method presents improvements in relation to two other algorithms previously proposed, one of which is already an improvement for the first one. The algorithm presented in this work differs from the other ones in the foollowing characteristcs: by the significant reduction of the space required for image storage, the determination of an exact compression rate and the reduction of the decoding processing time. Another advancement was the compression of colored images using the tool wavemenu in improvement with the algorithm that determines the compression ratio.